The document summarizes a study on assessing reliability costs for upgrading an electric feeder using customer surveys in Hyderabad, India. Customer surveys were conducted with residential, commercial, and industrial customers to determine the monetary costs of power interruptions of varying durations. The survey data was used to create customer damage functions showing interruption costs normalized per annual peak demand. Sector customer damage functions were also developed. The results can be used to evaluate reliability worth and help justify future system reinforcements.
Monitoring and analysis of reliaibility of electrical distribution systemIAEME Publication
This document summarizes a study on monitoring and analyzing the reliability of electrical distribution systems using MATLAB. The study develops a reliability analysis program in MATLAB to assess factors that affect distribution reliability. Field visits were conducted to distribution substations in India to collect data. The objectives of the study are to provide reliability data to utility management, allow performance comparisons, determine how design and maintenance affect reliability, and aid maintenance scheduling. The significance of the study is that distribution reliability is important for utilities facing market pressures to satisfy customers while minimizing costs. The MATLAB model allows a new method for evaluating reliability and identifying cost-effective preventative maintenance strategies.
This document provides an overview of different methods for long-term electric load demand forecasting. It begins with an introduction to the importance of long-term demand forecasting for electric utility planning. It then describes several traditional parametric forecasting methods, including trend analysis, end-use modeling, and econometric modeling. The key differences between these methods are discussed. The document then introduces several artificial intelligence-based methods that have been used for long-term load forecasting, including neural networks, genetic algorithms, fuzzy logic, support vector machines, wavelet networks, and expert systems. Specific network architectures for neural networks that are suitable for long-term load forecasting are also described, such as recurrent neural networks, feed-forward back
IRJET- An Energy Conservation Scheme based on Tariff ModerationIRJET Journal
This document discusses an energy conservation scheme based on tariff modification for domestic users. It proposes a new tariff rate structure that provides incentives for low consumption and penalties for high consumption. This aims to motivate consumers to reduce energy usage without causing losses for electric utilities. The existing structure provides 100 free units, which does not encourage conservation and causes losses. The proposed system calculates bills based on consumed units and compares to averages to determine incentives or penalties. The goal is to reduce residential energy usage through this modified tariff approach.
Comprehensive Evaluation Model for the Implementation Effect of China's Trans...AI Publications
This document proposes a comprehensive evaluation model to assess the implementation effect of China's transmission and distribution tariff reform. It establishes a four-dimensional index system including 12 indicators to evaluate economic efficiency, safety and reliability, energy saving and environment protection, and satisfaction. A hybrid model is proposed using the Best-Worst Method to determine indicator weights and the Matter-Element Extension Model to rank performance. This evaluation model can provide references for policymakers to improve tariff reform policies.
Power System Reliability Assessment in a Complex Restructured Power SystemIJECEIAES
The basic purpose of an electric power system is to supply its consumers with electric energy as parsimoniously as possible and with a sensible degree of continuity and quality. It is expected that the solicitation of power system reliability assessment in bulk power systems will continue to increase in the future especially in the newly deregulated power diligence. This paper presents the research conducted on the three areas of incorporating multi-state generating unit models, evaluating system performance indices and identifying transmission paucities in complex system adequacy assessment. The incentives for electricity market participants to endow in new generation and transmission facilities are highly influenced by the market risk in a complex restructured environment. This paper also presents a procedure to identify transmission deficiencies and remedial modification in the composite generation and transmission system and focused on the application of probabilistic techniques in composite system adequacy assessment
This document summarizes a study on the economic effects of technical and non-technical losses in Nigeria's power transmission system. The study found that Nigeria's 330kV transmission network suffers from high voltage drops and power losses of around 454.73 GW annually, costing over 4.4 billion naira. These losses are caused by technical issues like low generation capacity and a long, fragile network as well as non-technical issues like electricity theft. Reducing these transmission and distribution losses, which at 17.72% of output are very high compared to more efficient countries, could boost Nigeria's economic growth.
A primary research analysis is conducted with Simply Energy. The purpose of the research is to identify and assess how the company provides its consumers with needed services and also to find out satisfaction levels of the customers. Recommendations are made for increasing sustainability initiatives in order for the company to face current competitive situations.
EFFICIENT POWER THEFT DETECTION FOR RESIDENTIAL CONSUMERS USING MEAN SHIFT DA...ijaia
Energy theft constitutes an issue of great importance for electricity operators. The attempt to detect and reduce non-technical losses is a challenging task due to insufficient inspection methods. With the evolution of advanced metering infrastructure (AMI) in smart grids, a more complicated status quo in energy theft has emerged and many new technologies are being adopted to solve the problem. In order to identify illegal residential consumers, a computational method of analyzing and identifying electricity consumption patterns of consumers based on data mining techniques has been presented. Combining principal component analysis (PCA) with mean shift algorithm for different power theft scenarios, we can now cope with the power theft detection problem sufficiently. The overall research has shown encouraging results in residential consumers power theft detection that will help utilities to improve the reliability, security and operation of power network.
Monitoring and analysis of reliaibility of electrical distribution systemIAEME Publication
This document summarizes a study on monitoring and analyzing the reliability of electrical distribution systems using MATLAB. The study develops a reliability analysis program in MATLAB to assess factors that affect distribution reliability. Field visits were conducted to distribution substations in India to collect data. The objectives of the study are to provide reliability data to utility management, allow performance comparisons, determine how design and maintenance affect reliability, and aid maintenance scheduling. The significance of the study is that distribution reliability is important for utilities facing market pressures to satisfy customers while minimizing costs. The MATLAB model allows a new method for evaluating reliability and identifying cost-effective preventative maintenance strategies.
This document provides an overview of different methods for long-term electric load demand forecasting. It begins with an introduction to the importance of long-term demand forecasting for electric utility planning. It then describes several traditional parametric forecasting methods, including trend analysis, end-use modeling, and econometric modeling. The key differences between these methods are discussed. The document then introduces several artificial intelligence-based methods that have been used for long-term load forecasting, including neural networks, genetic algorithms, fuzzy logic, support vector machines, wavelet networks, and expert systems. Specific network architectures for neural networks that are suitable for long-term load forecasting are also described, such as recurrent neural networks, feed-forward back
IRJET- An Energy Conservation Scheme based on Tariff ModerationIRJET Journal
This document discusses an energy conservation scheme based on tariff modification for domestic users. It proposes a new tariff rate structure that provides incentives for low consumption and penalties for high consumption. This aims to motivate consumers to reduce energy usage without causing losses for electric utilities. The existing structure provides 100 free units, which does not encourage conservation and causes losses. The proposed system calculates bills based on consumed units and compares to averages to determine incentives or penalties. The goal is to reduce residential energy usage through this modified tariff approach.
Comprehensive Evaluation Model for the Implementation Effect of China's Trans...AI Publications
This document proposes a comprehensive evaluation model to assess the implementation effect of China's transmission and distribution tariff reform. It establishes a four-dimensional index system including 12 indicators to evaluate economic efficiency, safety and reliability, energy saving and environment protection, and satisfaction. A hybrid model is proposed using the Best-Worst Method to determine indicator weights and the Matter-Element Extension Model to rank performance. This evaluation model can provide references for policymakers to improve tariff reform policies.
Power System Reliability Assessment in a Complex Restructured Power SystemIJECEIAES
The basic purpose of an electric power system is to supply its consumers with electric energy as parsimoniously as possible and with a sensible degree of continuity and quality. It is expected that the solicitation of power system reliability assessment in bulk power systems will continue to increase in the future especially in the newly deregulated power diligence. This paper presents the research conducted on the three areas of incorporating multi-state generating unit models, evaluating system performance indices and identifying transmission paucities in complex system adequacy assessment. The incentives for electricity market participants to endow in new generation and transmission facilities are highly influenced by the market risk in a complex restructured environment. This paper also presents a procedure to identify transmission deficiencies and remedial modification in the composite generation and transmission system and focused on the application of probabilistic techniques in composite system adequacy assessment
This document summarizes a study on the economic effects of technical and non-technical losses in Nigeria's power transmission system. The study found that Nigeria's 330kV transmission network suffers from high voltage drops and power losses of around 454.73 GW annually, costing over 4.4 billion naira. These losses are caused by technical issues like low generation capacity and a long, fragile network as well as non-technical issues like electricity theft. Reducing these transmission and distribution losses, which at 17.72% of output are very high compared to more efficient countries, could boost Nigeria's economic growth.
A primary research analysis is conducted with Simply Energy. The purpose of the research is to identify and assess how the company provides its consumers with needed services and also to find out satisfaction levels of the customers. Recommendations are made for increasing sustainability initiatives in order for the company to face current competitive situations.
EFFICIENT POWER THEFT DETECTION FOR RESIDENTIAL CONSUMERS USING MEAN SHIFT DA...ijaia
Energy theft constitutes an issue of great importance for electricity operators. The attempt to detect and reduce non-technical losses is a challenging task due to insufficient inspection methods. With the evolution of advanced metering infrastructure (AMI) in smart grids, a more complicated status quo in energy theft has emerged and many new technologies are being adopted to solve the problem. In order to identify illegal residential consumers, a computational method of analyzing and identifying electricity consumption patterns of consumers based on data mining techniques has been presented. Combining principal component analysis (PCA) with mean shift algorithm for different power theft scenarios, we can now cope with the power theft detection problem sufficiently. The overall research has shown encouraging results in residential consumers power theft detection that will help utilities to improve the reliability, security and operation of power network.
Correlation between Load Growth and Reliability of an Electric Service Cooper...IJAEMSJORNAL
This study determined the relationship between the load growth and the reliability of an Electric Service Cooperative (ESC) in the Philippines. Statistical research design and documentary analysis were utilized in this research. It was found out that over a period of five years, the demand and energy consumption of the whole franchise area of the respondent ESC power distribution utility has grown significantly. Also, this study disproves that load growth may lead to the overloading distribution lines and equipment and thus, causes power interruptions.Furthermore, demand and energy consumption is not correlated with the frequency and duration of power interruptions. Moreover, this study also revealed that the reliability of the respondent Distribution Utility (DU) does not vary for the period of 5 years. It is recommended that there should be the right way of clearing activities and line rehabilitations should be doneto have a more efficient transfer of energy and to improve the DU’s reliability.
Investigation of Power Quality Indices in Jordanian Distribution GridIOSRJEEE
he sensitivity and the highly connected modern power systems make Power quality problems a priority in these systems. Both utilities and consumers have essential role in dealing with these problems. It is utilities responsibility to provide a clean and reliable power. On the other hand, it is consumer’s responsibility to draw power with acceptable indices. In this Paper, the type of the consumer’s facility is chosen as a basis for managing power quality indices. In this paper, comprehensive power quality in Jordan Low-Voltage Electrical Power Grid is measured. The loads are divided into five categories: : (i) industrial loads, (ii) commercial loads, (iii) hospital loads, (iv) residential loads, and (v) office loads. Assuming each category will affect the grid in similar way, which will facilitate prediction of power quality problems. Also, this methodology will help proposing new regulation that governs the relation between utilities and consumers. The power quality indices considered in this paper are; THD, Crest factor, K-factor, Power factor, Harmonic to active power ratio, Voltage imbalance, and Frequency variations. The results show similar results for the loads with the same type. Also, the results show the correlation between the current total harmonic distortion and utility voltages and neutral-to-ground voltage, and between voltage and current imbalance.
Improved particle swarm optimization algorithms for economic load dispatch co...IJECEIAES
Economic load dispatch problem under the competitive electric market (ELDCEM) is becoming a hot problem that receives a big interest from researchers. A lot of measures are proposed to deal with the problem. In this paper, three versions of PSO method such as conventional particle swarm optimization (PSO), PSO with inertia weight (IWPSO) and PSO with constriction factor (CFPSO) are applied for handling ELDCEM problem. The core duty of the PSO methods is to determine the most optimal power output of generators to obtain total profit as much as possible for generation companies without violation of constraints. These methods are tested on three and ten-unit systems considering payment model for power delivered and different constraints. Results obtained from the PSO methods are compared with each other to evaluate the effectiveness and robustness. As results, IWPSO method is superior to other methods. Besides, comparing the PSO methods with other reported methods also gives a conclusion that IWPSO method is a very strong tool for solving ELDCEM problem because it can obtain the highest profit, fast converge speed and simulation time.
Evaluation of Factors Affecting the Adoption of Smart Buildings Using the Tec...Eswar Publications
Objective: This study aimed to find a solution to the acceptance of smart buildings in Iran using the technology
acceptance model (TAM). The main research question is the significance of this model relationships, as well as the
anticipated adoption of smart buildings in Iran using variables included in the model.
Methods: This descriptive study, is based on survey data collection methods and the way of analyzing data is correlational and casual study. Measurement tool was designed based on the standardized questionnaire presented by Davis. The reliability coefficient was 0.88. Statistical population is unlimited and included citizens of Iran in 1395. The sample consisted of 388 individuals. Given the infinity of society and Cochran formula, 384 individual is sufficient for
this research. This study is a random sampling one that was done in the period of 30 days.
Findings and conclusions: The results revealed that all relationships in the model are significant. And among the
variables of the model, perceived usefulness, the attitude toward using, and features of smart buildings had the most
intense relationship in acceptance this technology. Using regression equations, each of the dependent variables in the
model, is predictable by the independent variables.
Innovation of research: The intensity of relationship between variables in technology acceptance model and impact of each variable in explaining the criterion factor was analyzed.
Research limitations: Many people tend not to complete the questionnaire and some ones answer questions unrealistic. Despite all the explanations to justify the respondents, still there are possible directions in responses.
Practical consequences: Using regression equations obtained in this study, we can predict the criterion variables in the
model of technology adoption.
Road User Attitudes towards Safety Initiatives in KuwaitIJMER
This document summarizes a study that surveyed road users in Kuwait about their perceptions of the effectiveness and level of support for various road safety countermeasures. A total of 26 potential countermeasures were evaluated. The survey found that road users believed most of the countermeasures (19 out of 26) would be effective in reducing accidents. They also indicated support for implementing most of the countermeasures (20 out of 26 received approval index scores above 1.7). The countermeasure perceived as most effective was increased enforcement of speed limits, while increasing maximum speed limits was seen as least effective. There was generally agreement between perceived effectiveness of countermeasures and level of support for their implementation.
Economical and Reliable Expansion Alternative of Composite Power System under...IJECEIAES
The paper intends to select the most economical and reliable expansion alternative of a composite power system to meet the expected future load growth. In order to reduce time computational quantity, a heuristic algorithm is adopted for composite power system reliability evaluation is proposed. The proposed algorithm is based on Monte-Carlo simulation method. The reliability indices are estimated for system base case and for the case of adding peaking generation units. The least cost reserve margin for the addition of five 20MW generating units sequentially is determined. Using the proposed algorithm an increment comparison approach used to illustrate the effect of the added units on the interruption and on the annual net gain costs. A flow chart introduced to explain the basic methodology to have an adequate assessment of a power system using Monte Carlo Simulation. The IEEE RTS (24-bus, 38-line) and The Jordanian Electrical Power System (46bus and 92-line) were examined to illustrate how to make decisions in power system planning and expansions.
This document evaluates the cost-effectiveness and energy savings of various policy instruments to increase building energy efficiency. It analyzes 47 case studies from 23 countries of 8 policy types, including building codes, product standards, labels, and information programs. The results show that all policy instruments have the potential to cost-effectively achieve energy savings when designed and implemented appropriately for local conditions. While certain policies like product standards and labels achieved the largest total energy savings, no single policy could be clearly prioritized based on cost-effectiveness alone, as effectiveness depends strongly on implementation. Sharing experiences and quantitative data on policies across countries can help reduce costs and improve policy design for energy efficiency.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This paper proposes the analysis of the effects of power electronics devices on the energy quality of an administrative building. For the study a method is applied that allows the analysis of the main problems of energy quality such as voltage variation, harmonics, flicker, and the effect of harmonics on the power factor. As a case study, the offices of an administrative building were used, where the measurements of the main energy quality parameters were carried out for a week. The results showed the presence of current harmonics and flicker problems due to non-linear loads such as the frequency inverters that drive the motors of the elevators and escalators, as well as the LED lamps. These problems cause systematic damage to the lighting system, UPS and improper correction of the power factor. The study also demonstrates the need to deepen the effects of energy quality not only in the industrial and residential sectors. In addition, attention must be paid to the tertiary sector, specifically to administrative buildings.
This document summarizes past research on energy management in mobile devices. It discusses how energy management is important for mobile devices due to limited battery size and longevity concerns. It also discusses the need for operating systems to provide energy isolation, delegation, and subdivision to allow applications to better manage energy usage. The document reviews several models for energy management in mobile devices and compares past research that has measured energy consumption of different components like wireless interfaces in smartphones. It identifies a need for further research to develop more accurate energy management techniques.
A New Methodology for Active Power Transmission Loss Allocation in Deregulate...IJECEIAES
This paper presents a new method for transmission loss allocation in a deregulated power system. As the power loss is a nonlinear quantity, so to allocate the loss in a common transmission corrider is a difficult task. It allocates transmission losses to loads based on the actual power flow in the lossy lines due to the concerned load. Each lossy line is subdivided into as many sub-lines as corresponding to the numbers of load attached to it. The tracing of power flow through each sub-line is worked out by using proportional sharing method. The power loss in each lossy line is equal with the total loss due to all the sub-lines under it. Then by using Pro-rata for each lossy line, the individual loss for each sub-line is formulated. As the application of Pro-rata is limited to an individual line of the system, so the error in calculation is minimized. The total loss allocated to a particular load is the sum of losses occurred in each lossy lines through which the power is flowing to the concerned load. As this method is based on the actual flow of power in the transmission line corresponding to the concerned load, hence, the loss allocation made by the method gives proper and justifiable allocations to the different loads which are attached to the system. The proposed method is applied to a six-bus system and finds the mismatch in the commonly used methods. Then, it is applied to higher bus systems in which more accurate results are obtained compared to the other methods.
The direct assessment and captive costs methods for estimating the economic c...Dr. Hachimenum Amadi
ABSTRACT: Due to frequent power outages, the typical Nigerian firm incurs huge costs arising from damaged equipment, lost output, spoiled materials, idle workers and restart costs. This paper developed mathematical models for the computation of the economic costs due to power outages in selected electricity intensive industries from the major industrial areas of Nigeria. This became necessary to optimize investment and operating decisions for adequate power outage mitigation measures.
This document discusses measures to reduce power outages for the residential sector. It first reviews existing studies on assessing the costs of power outages and energy conservation strategies. It then outlines the objectives of the work, which are to estimate the adverse effects of power outages on residents and propose energy conservation strategies that reduce outages and costs. To achieve this, the author conducted a consumer survey to estimate outage costs based on residents' perceptions and willingness to pay. A mathematical model was also developed relating energy consumption, costs, and outages. The model shows that energy conservation can maximize benefits by reducing consumption and outages. The document evaluates outage costs using both the survey approach and mathematical modeling.
This work investigates and evaluates the electric energy interruptions to the residential sector resulting from severe power outages. The study results show that this sector will suffer tangible and intangible losses should these outages occur during specific times, seasons, and for prolonged durations. To reduce these power outages and hence mitigate their adverse consequences, the study proposes practical measures that
can be adopted without compromising the consumers’ needs, satisfaction, and convenience.
The document summarizes an industrial energy audit conducted at R.R. Industries in Vadodara, India. The audit aimed to identify energy losses and inefficiencies in the facility's production and processes in order to minimize energy costs without affecting output or quality. Auditors monitored the facility's entire system and identified opportunities to reduce waste, lower energy bills, and improve the power factor and overall efficiency. Key areas examined included lighting, machinery, equipment loads, energy consumption by department, electrical parameters, and tariff plans. The audit findings and recommendations could help reduce energy usage and costs significantly at the facility.
Analysis of Electric Power Consumption using Smart Meter DataIRJET Journal
This document proposes an analytical model to analyze electric power consumption using smart meter data. The model consists of two modules: 1) A consumer-oriented module that clusters consumers with similar appliances and analyzes consumption patterns to provide customized recommendations for reducing usage. 2) A predictive module that uses historical consumption data to identify trends and predict future usage or irregularities. The proposed system first collects smart meter data, preprocesses it, then clusters consumers using k-means clustering based on appliance type and number. Consumption profiles are analyzed within each cluster to develop standards and suggest recommendations. Historical data is also used for predictive modeling and outlier detection.
ADOPTING MEASURES TO REDUCE POWER OUTAGESelelijjournal
This work investigates and evaluates the electric energy interruptions to the residential sector resulting
from severe power outages. The study results show that this sector will suffer tangible and intangible losses
should these outages occur during specific times, seasons, and for prolonged durations. To reduce these
power outages and hence mitigate their adverse consequences, the study proposes practical measures that
can be adopted without compromising the consumers’ needs, satisfaction ,and convenience.
IRJET- Demand Response Optimization using Genetic Algorithm and Particle Swar...IRJET Journal
This document summarizes research on using genetic algorithms and particle swarm optimization to optimize demand response. It discusses how increasing population growth has increased energy demand, challenging utilities to balance supply and demand. Demand response aims to reduce peak loads by encouraging consumers to reduce electricity use during peak periods. Smart meters provide consumers information on their usage to help reduce loads. The document reviews literature on using particle swarm optimization and genetic algorithms to optimize dividing consumer loads into elastic and inelastic parts to better control total load and reduce costs. It finds genetic algorithms provide better results than particle swarm optimization for this application.
A comparative assessment of energy management system and strategies in kanpurIAEME Publication
This document summarizes a research paper on assessing energy management systems and strategies in Kanpur City, India. It conducted surveys of domestic and industrial users as well as power agencies on issues like energy losses, production costs, and distribution costs. The surveys found that the energy system needs much improvement. This can be done through technical solutions like tamper-proof meters, managerial methods like distribution system monitoring, and restructuring ownership and regulation of power systems. A bottom-up distributed generation approach is proposed to add power capacity in a more distributed manner as demand grows gradually over time.
Electric Load Forecasting Using Genetic Algorithm – A Review IJMER
Many real-world problems from operations research and management science are very
complex in nature and quite hard to solve by conventional optimization techniques. So, intelligent
solutions based on genetic algorithm (GA), to solve these complicated practical problems in various
sectors are becoming more and more widespread nowadays. GAs are being developed and deployed
worldwide in myriad applications, mainly because of their symbolic reasoning, flexibility and
explanation capabilities.
This paper provides an overview of GAs, as well as their current use in the field of electric load
forecasting. The types of GA are outlined, leading to a discussion of the various types and parameters of
load forecasting. The paper concludes by sharing thoughts and estimations on GA for load forecasting
for future prospects in this area. This review reveals that although still regarded as a novel
methodology, GA technologies are shown to have matured to the point of offering real practical benefits
in many of their applications.
To forecast the future demand of electrical energy in india by arimaIAEME Publication
This document discusses forecasting future electricity demand in India using ARIMA and exponential time series methods. It provides background on India's growing electricity needs to sustain 8-10% economic growth over the next 25 years, which will require a 3-4 times increase in primary energy supply and 5-6 times increase in electricity generation. The document examines long-term electricity demand forecasting using ARIMA and exponential methods and finds exponential forecasting to be more accurate for long-term forecasting, while ARIMA is better for short-term. It analyzes forecasts that predict India will be unable to meet electricity demand growth with ARIMA but may be able to with exponential forecasting. The document also discusses methodology, factors
It approach for energy management in electrical demandiaemedu
This document summarizes an article from the International Journal of Management about using information technology for energy management in the electrical demand of industries. It discusses how the demand for electricity in India is growing faster than production capacity, resulting in a gap that is addressed through demand side management. The article explains how conservation and management of electrical energy in industries can be improved using computer technologies and advanced metering. It also provides background on energy use in India and obstacles to improving energy efficiency.
Correlation between Load Growth and Reliability of an Electric Service Cooper...IJAEMSJORNAL
This study determined the relationship between the load growth and the reliability of an Electric Service Cooperative (ESC) in the Philippines. Statistical research design and documentary analysis were utilized in this research. It was found out that over a period of five years, the demand and energy consumption of the whole franchise area of the respondent ESC power distribution utility has grown significantly. Also, this study disproves that load growth may lead to the overloading distribution lines and equipment and thus, causes power interruptions.Furthermore, demand and energy consumption is not correlated with the frequency and duration of power interruptions. Moreover, this study also revealed that the reliability of the respondent Distribution Utility (DU) does not vary for the period of 5 years. It is recommended that there should be the right way of clearing activities and line rehabilitations should be doneto have a more efficient transfer of energy and to improve the DU’s reliability.
Investigation of Power Quality Indices in Jordanian Distribution GridIOSRJEEE
he sensitivity and the highly connected modern power systems make Power quality problems a priority in these systems. Both utilities and consumers have essential role in dealing with these problems. It is utilities responsibility to provide a clean and reliable power. On the other hand, it is consumer’s responsibility to draw power with acceptable indices. In this Paper, the type of the consumer’s facility is chosen as a basis for managing power quality indices. In this paper, comprehensive power quality in Jordan Low-Voltage Electrical Power Grid is measured. The loads are divided into five categories: : (i) industrial loads, (ii) commercial loads, (iii) hospital loads, (iv) residential loads, and (v) office loads. Assuming each category will affect the grid in similar way, which will facilitate prediction of power quality problems. Also, this methodology will help proposing new regulation that governs the relation between utilities and consumers. The power quality indices considered in this paper are; THD, Crest factor, K-factor, Power factor, Harmonic to active power ratio, Voltage imbalance, and Frequency variations. The results show similar results for the loads with the same type. Also, the results show the correlation between the current total harmonic distortion and utility voltages and neutral-to-ground voltage, and between voltage and current imbalance.
Improved particle swarm optimization algorithms for economic load dispatch co...IJECEIAES
Economic load dispatch problem under the competitive electric market (ELDCEM) is becoming a hot problem that receives a big interest from researchers. A lot of measures are proposed to deal with the problem. In this paper, three versions of PSO method such as conventional particle swarm optimization (PSO), PSO with inertia weight (IWPSO) and PSO with constriction factor (CFPSO) are applied for handling ELDCEM problem. The core duty of the PSO methods is to determine the most optimal power output of generators to obtain total profit as much as possible for generation companies without violation of constraints. These methods are tested on three and ten-unit systems considering payment model for power delivered and different constraints. Results obtained from the PSO methods are compared with each other to evaluate the effectiveness and robustness. As results, IWPSO method is superior to other methods. Besides, comparing the PSO methods with other reported methods also gives a conclusion that IWPSO method is a very strong tool for solving ELDCEM problem because it can obtain the highest profit, fast converge speed and simulation time.
Evaluation of Factors Affecting the Adoption of Smart Buildings Using the Tec...Eswar Publications
Objective: This study aimed to find a solution to the acceptance of smart buildings in Iran using the technology
acceptance model (TAM). The main research question is the significance of this model relationships, as well as the
anticipated adoption of smart buildings in Iran using variables included in the model.
Methods: This descriptive study, is based on survey data collection methods and the way of analyzing data is correlational and casual study. Measurement tool was designed based on the standardized questionnaire presented by Davis. The reliability coefficient was 0.88. Statistical population is unlimited and included citizens of Iran in 1395. The sample consisted of 388 individuals. Given the infinity of society and Cochran formula, 384 individual is sufficient for
this research. This study is a random sampling one that was done in the period of 30 days.
Findings and conclusions: The results revealed that all relationships in the model are significant. And among the
variables of the model, perceived usefulness, the attitude toward using, and features of smart buildings had the most
intense relationship in acceptance this technology. Using regression equations, each of the dependent variables in the
model, is predictable by the independent variables.
Innovation of research: The intensity of relationship between variables in technology acceptance model and impact of each variable in explaining the criterion factor was analyzed.
Research limitations: Many people tend not to complete the questionnaire and some ones answer questions unrealistic. Despite all the explanations to justify the respondents, still there are possible directions in responses.
Practical consequences: Using regression equations obtained in this study, we can predict the criterion variables in the
model of technology adoption.
Road User Attitudes towards Safety Initiatives in KuwaitIJMER
This document summarizes a study that surveyed road users in Kuwait about their perceptions of the effectiveness and level of support for various road safety countermeasures. A total of 26 potential countermeasures were evaluated. The survey found that road users believed most of the countermeasures (19 out of 26) would be effective in reducing accidents. They also indicated support for implementing most of the countermeasures (20 out of 26 received approval index scores above 1.7). The countermeasure perceived as most effective was increased enforcement of speed limits, while increasing maximum speed limits was seen as least effective. There was generally agreement between perceived effectiveness of countermeasures and level of support for their implementation.
Economical and Reliable Expansion Alternative of Composite Power System under...IJECEIAES
The paper intends to select the most economical and reliable expansion alternative of a composite power system to meet the expected future load growth. In order to reduce time computational quantity, a heuristic algorithm is adopted for composite power system reliability evaluation is proposed. The proposed algorithm is based on Monte-Carlo simulation method. The reliability indices are estimated for system base case and for the case of adding peaking generation units. The least cost reserve margin for the addition of five 20MW generating units sequentially is determined. Using the proposed algorithm an increment comparison approach used to illustrate the effect of the added units on the interruption and on the annual net gain costs. A flow chart introduced to explain the basic methodology to have an adequate assessment of a power system using Monte Carlo Simulation. The IEEE RTS (24-bus, 38-line) and The Jordanian Electrical Power System (46bus and 92-line) were examined to illustrate how to make decisions in power system planning and expansions.
This document evaluates the cost-effectiveness and energy savings of various policy instruments to increase building energy efficiency. It analyzes 47 case studies from 23 countries of 8 policy types, including building codes, product standards, labels, and information programs. The results show that all policy instruments have the potential to cost-effectively achieve energy savings when designed and implemented appropriately for local conditions. While certain policies like product standards and labels achieved the largest total energy savings, no single policy could be clearly prioritized based on cost-effectiveness alone, as effectiveness depends strongly on implementation. Sharing experiences and quantitative data on policies across countries can help reduce costs and improve policy design for energy efficiency.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This paper proposes the analysis of the effects of power electronics devices on the energy quality of an administrative building. For the study a method is applied that allows the analysis of the main problems of energy quality such as voltage variation, harmonics, flicker, and the effect of harmonics on the power factor. As a case study, the offices of an administrative building were used, where the measurements of the main energy quality parameters were carried out for a week. The results showed the presence of current harmonics and flicker problems due to non-linear loads such as the frequency inverters that drive the motors of the elevators and escalators, as well as the LED lamps. These problems cause systematic damage to the lighting system, UPS and improper correction of the power factor. The study also demonstrates the need to deepen the effects of energy quality not only in the industrial and residential sectors. In addition, attention must be paid to the tertiary sector, specifically to administrative buildings.
This document summarizes past research on energy management in mobile devices. It discusses how energy management is important for mobile devices due to limited battery size and longevity concerns. It also discusses the need for operating systems to provide energy isolation, delegation, and subdivision to allow applications to better manage energy usage. The document reviews several models for energy management in mobile devices and compares past research that has measured energy consumption of different components like wireless interfaces in smartphones. It identifies a need for further research to develop more accurate energy management techniques.
A New Methodology for Active Power Transmission Loss Allocation in Deregulate...IJECEIAES
This paper presents a new method for transmission loss allocation in a deregulated power system. As the power loss is a nonlinear quantity, so to allocate the loss in a common transmission corrider is a difficult task. It allocates transmission losses to loads based on the actual power flow in the lossy lines due to the concerned load. Each lossy line is subdivided into as many sub-lines as corresponding to the numbers of load attached to it. The tracing of power flow through each sub-line is worked out by using proportional sharing method. The power loss in each lossy line is equal with the total loss due to all the sub-lines under it. Then by using Pro-rata for each lossy line, the individual loss for each sub-line is formulated. As the application of Pro-rata is limited to an individual line of the system, so the error in calculation is minimized. The total loss allocated to a particular load is the sum of losses occurred in each lossy lines through which the power is flowing to the concerned load. As this method is based on the actual flow of power in the transmission line corresponding to the concerned load, hence, the loss allocation made by the method gives proper and justifiable allocations to the different loads which are attached to the system. The proposed method is applied to a six-bus system and finds the mismatch in the commonly used methods. Then, it is applied to higher bus systems in which more accurate results are obtained compared to the other methods.
The direct assessment and captive costs methods for estimating the economic c...Dr. Hachimenum Amadi
ABSTRACT: Due to frequent power outages, the typical Nigerian firm incurs huge costs arising from damaged equipment, lost output, spoiled materials, idle workers and restart costs. This paper developed mathematical models for the computation of the economic costs due to power outages in selected electricity intensive industries from the major industrial areas of Nigeria. This became necessary to optimize investment and operating decisions for adequate power outage mitigation measures.
This document discusses measures to reduce power outages for the residential sector. It first reviews existing studies on assessing the costs of power outages and energy conservation strategies. It then outlines the objectives of the work, which are to estimate the adverse effects of power outages on residents and propose energy conservation strategies that reduce outages and costs. To achieve this, the author conducted a consumer survey to estimate outage costs based on residents' perceptions and willingness to pay. A mathematical model was also developed relating energy consumption, costs, and outages. The model shows that energy conservation can maximize benefits by reducing consumption and outages. The document evaluates outage costs using both the survey approach and mathematical modeling.
This work investigates and evaluates the electric energy interruptions to the residential sector resulting from severe power outages. The study results show that this sector will suffer tangible and intangible losses should these outages occur during specific times, seasons, and for prolonged durations. To reduce these power outages and hence mitigate their adverse consequences, the study proposes practical measures that
can be adopted without compromising the consumers’ needs, satisfaction, and convenience.
The document summarizes an industrial energy audit conducted at R.R. Industries in Vadodara, India. The audit aimed to identify energy losses and inefficiencies in the facility's production and processes in order to minimize energy costs without affecting output or quality. Auditors monitored the facility's entire system and identified opportunities to reduce waste, lower energy bills, and improve the power factor and overall efficiency. Key areas examined included lighting, machinery, equipment loads, energy consumption by department, electrical parameters, and tariff plans. The audit findings and recommendations could help reduce energy usage and costs significantly at the facility.
Analysis of Electric Power Consumption using Smart Meter DataIRJET Journal
This document proposes an analytical model to analyze electric power consumption using smart meter data. The model consists of two modules: 1) A consumer-oriented module that clusters consumers with similar appliances and analyzes consumption patterns to provide customized recommendations for reducing usage. 2) A predictive module that uses historical consumption data to identify trends and predict future usage or irregularities. The proposed system first collects smart meter data, preprocesses it, then clusters consumers using k-means clustering based on appliance type and number. Consumption profiles are analyzed within each cluster to develop standards and suggest recommendations. Historical data is also used for predictive modeling and outlier detection.
ADOPTING MEASURES TO REDUCE POWER OUTAGESelelijjournal
This work investigates and evaluates the electric energy interruptions to the residential sector resulting
from severe power outages. The study results show that this sector will suffer tangible and intangible losses
should these outages occur during specific times, seasons, and for prolonged durations. To reduce these
power outages and hence mitigate their adverse consequences, the study proposes practical measures that
can be adopted without compromising the consumers’ needs, satisfaction ,and convenience.
IRJET- Demand Response Optimization using Genetic Algorithm and Particle Swar...IRJET Journal
This document summarizes research on using genetic algorithms and particle swarm optimization to optimize demand response. It discusses how increasing population growth has increased energy demand, challenging utilities to balance supply and demand. Demand response aims to reduce peak loads by encouraging consumers to reduce electricity use during peak periods. Smart meters provide consumers information on their usage to help reduce loads. The document reviews literature on using particle swarm optimization and genetic algorithms to optimize dividing consumer loads into elastic and inelastic parts to better control total load and reduce costs. It finds genetic algorithms provide better results than particle swarm optimization for this application.
A comparative assessment of energy management system and strategies in kanpurIAEME Publication
This document summarizes a research paper on assessing energy management systems and strategies in Kanpur City, India. It conducted surveys of domestic and industrial users as well as power agencies on issues like energy losses, production costs, and distribution costs. The surveys found that the energy system needs much improvement. This can be done through technical solutions like tamper-proof meters, managerial methods like distribution system monitoring, and restructuring ownership and regulation of power systems. A bottom-up distributed generation approach is proposed to add power capacity in a more distributed manner as demand grows gradually over time.
Electric Load Forecasting Using Genetic Algorithm – A Review IJMER
Many real-world problems from operations research and management science are very
complex in nature and quite hard to solve by conventional optimization techniques. So, intelligent
solutions based on genetic algorithm (GA), to solve these complicated practical problems in various
sectors are becoming more and more widespread nowadays. GAs are being developed and deployed
worldwide in myriad applications, mainly because of their symbolic reasoning, flexibility and
explanation capabilities.
This paper provides an overview of GAs, as well as their current use in the field of electric load
forecasting. The types of GA are outlined, leading to a discussion of the various types and parameters of
load forecasting. The paper concludes by sharing thoughts and estimations on GA for load forecasting
for future prospects in this area. This review reveals that although still regarded as a novel
methodology, GA technologies are shown to have matured to the point of offering real practical benefits
in many of their applications.
To forecast the future demand of electrical energy in india by arimaIAEME Publication
This document discusses forecasting future electricity demand in India using ARIMA and exponential time series methods. It provides background on India's growing electricity needs to sustain 8-10% economic growth over the next 25 years, which will require a 3-4 times increase in primary energy supply and 5-6 times increase in electricity generation. The document examines long-term electricity demand forecasting using ARIMA and exponential methods and finds exponential forecasting to be more accurate for long-term forecasting, while ARIMA is better for short-term. It analyzes forecasts that predict India will be unable to meet electricity demand growth with ARIMA but may be able to with exponential forecasting. The document also discusses methodology, factors
It approach for energy management in electrical demandiaemedu
This document summarizes an article from the International Journal of Management about using information technology for energy management in the electrical demand of industries. It discusses how the demand for electricity in India is growing faster than production capacity, resulting in a gap that is addressed through demand side management. The article explains how conservation and management of electrical energy in industries can be improved using computer technologies and advanced metering. It also provides background on energy use in India and obstacles to improving energy efficiency.
Pay-As-You-Go Energy Meter with GSM ModuleIRJET Journal
This document provides an overview of pay-as-you-go energy metering systems with GSM modules. It discusses the benefits of prepaid energy meters for managing energy consumption and billing. Prepaid meters allow customers to pay for electricity in advance and automatically disconnect power when credit is exhausted, encouraging conservation. The document examines the technical requirements for implementing these systems and their potential social and economic impacts, such as improving affordability for low-income households. It aims to provide a comprehensive understanding of prepaid energy metering and its role in sustainable energy management.
This document discusses industrial energy audits and their importance. It provides an overview of the types of energy audits, including preliminary and detailed audits. Preliminary audits gather basic energy usage data through interviews and reviews, while detailed audits involve comprehensive assessments of energy systems and balance of energy inputs and outputs. The goals of energy audits are to reduce waste, improve efficiency, and lower costs. Conducting regular audits is important for energy management and conservation efforts in industries.
This document provides an acknowledgements and abstract section for an energy audit report on Kingston Polytechnic Institute. It thanks various people and organizations for their support and guidance. The abstract indicates that the report will explore electricity consumption at the institute, identify areas of energy waste, promote conservation options, and provide recommendations based on energy surveys and data collection.
This document discusses rate design pathways for electricity providers to establish fair utility rates for solar PV customers in a distributed energy age. It proposes an integrated cost recovery approach for utilities based on three interrelated pricing approaches: 1) Allowing utilities to recover their minimum necessary customer-related fixed costs through a fixed charge. 2) Classifying utility costs as demand, energy, or customer-related and ensuring solar customers pay their fair share of these costs. 3) Considering utility rate cases like We Energies' proposal to increase fixed charges for solar customers cautiously to avoid over-recovery of costs or discouraging solar adoption.
This document summarizes a research report on advancing energy management through smart metering systems from an operational perspective. The report discusses the limitations of traditional electricity meters and how smart meters can help overcome issues by providing consumers with more information on their energy usage. It outlines the objectives of the study, which include analyzing currently deployed smart metering systems, suggesting improvements, and studying consumer energy usage behaviors. The report also reviews the evolution of electricity meters and discusses the costs and benefits of smart metering systems for consumers and electricity suppliers.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Energy efficiency of Industrial Utilities-Pratap Jung RaiPratap Jung Rai
The document discusses energy efficiency in industrial utilities. It outlines the objectives of energy efficiency as minimizing costs and environmental impacts without reducing productivity. An effective methodology for conducting energy audits is described, including preliminary, targeted, and detailed audits. The types of industrial utilities covered include electric motors, boilers, pumps, compressors, and HVAC systems. Monitoring equipment needed for energy audits is also discussed, such as electrical meters, combustion analyzers, thermometers, flow meters, and lux meters.
The document discusses electric utility rate structures and how customers can identify potential ways to reduce energy costs. It provides background on utility costs and how rates are determined based on three main cost components: customer costs, energy/commodity costs, and demand costs. The summary then describes the basic rate structure most utilities follow, including customer charges, energy charges, and demand charges. It also discusses some common rate variations utilities use like seasonal pricing, block pricing, riders, and discounts.
This document summarizes an electrical energy audit conducted at the Nandi Institute of Technology and Management Sciences (NIT&MS) campus in Bangalore, India. The audit found that the total average monthly electrical energy consumption across the campus was 3,842.842 kWh. Personal computers in labs, offices, and libraries accounted for the highest consumption at 39.14% of total usage. Fans were the second highest usage at 21.53%. Recommendations to improve energy efficiency included replacing conventional ballasts with electronic ones, installing motion sensors, replacing CRT monitors with LCDs, and switching to LED lights. Implementing all recommendations could save an estimated 10,435.84 kWh per year and reduce electricity costs by
Similar to Reliability cost assessment for upgrading feeder by using customer surveys (20)
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
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Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
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Top mailing list providers in the USA.pptxJeremyPeirce1
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How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
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Structural Design Process: Step-by-Step Guide for BuildingsChandresh Chudasama
The structural design process is explained: Follow our step-by-step guide to understand building design intricacies and ensure structural integrity. Learn how to build wonderful buildings with the help of our detailed information. Learn how to create structures with durability and reliability and also gain insights on ways of managing structures.
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
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[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This PowerPoint compilation offers a comprehensive overview of 20 leading innovation management frameworks and methodologies, selected for their broad applicability across various industries and organizational contexts. These frameworks are valuable resources for a wide range of users, including business professionals, educators, and consultants.
Each framework is presented with visually engaging diagrams and templates, ensuring the content is both informative and appealing. While this compilation is thorough, please note that the slides are intended as supplementary resources and may not be sufficient for standalone instructional purposes.
This compilation is ideal for anyone looking to enhance their understanding of innovation management and drive meaningful change within their organization. Whether you aim to improve product development processes, enhance customer experiences, or drive digital transformation, these frameworks offer valuable insights and tools to help you achieve your goals.
INCLUDED FRAMEWORKS/MODELS:
1. Stanford’s Design Thinking
2. IDEO’s Human-Centered Design
3. Strategyzer’s Business Model Innovation
4. Lean Startup Methodology
5. Agile Innovation Framework
6. Doblin’s Ten Types of Innovation
7. McKinsey’s Three Horizons of Growth
8. Customer Journey Map
9. Christensen’s Disruptive Innovation Theory
10. Blue Ocean Strategy
11. Strategyn’s Jobs-To-Be-Done (JTBD) Framework with Job Map
12. Design Sprint Framework
13. The Double Diamond
14. Lean Six Sigma DMAIC
15. TRIZ Problem-Solving Framework
16. Edward de Bono’s Six Thinking Hats
17. Stage-Gate Model
18. Toyota’s Six Steps of Kaizen
19. Microsoft’s Digital Transformation Framework
20. Design for Six Sigma (DFSS)
To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations
How to Implement a Real Estate CRM SoftwareSalesTown
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