Smart grid summary
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Traditional power grid can be upgraded into smart grids by incorporating two-way integrated communications and smart computing capabilities for improved efficiency, reliability and decision support.
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1. The document discusses the key components of a smart grid, including monitoring and control technology, transmission systems, smart devices interfaces, distribution systems, storage, and demand side management.
2. It describes each component in detail, explaining their functions and how they improve reliability, integration of renewable resources, and two-way power flow.
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To upgrade the grid, and to operate an improved grid, will require significant dependence on distributed intelligence and communication capabilities. To address the challenges of the existing power grid, the new concept of smart grid has emerged. The smart grid can be considered as a modern electric power grid infrastructure for enhanced efficiency and reliability through automated control, high-power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability ,and so on. For the system, we explore various failure protection mechanisms which improve the reliability of the Smart Grid, and explore the security and privacy issues in the Smart Grid. .
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energy at a fixed and lower cost, the existing power grid structure is transforming into Smart Grid. The
development of a smart energy distribution grid is a current goal of many nations. A Smart Grid should have
new capabilities such as self-healing, high reliability, energy management, and real-time pricing. This new era
of smart future grid will lead to major changes in existing technologies at generation, transmission and
distribution levels. The incorporation of renewable energy resources and distribution generators in the existing
grid will increase the complexity, optimization problems and instability of the system. This will lead to a
paradigm shift in the instrumentation and control requirements for Smart Grids for high quality, stable and
reliable electricity supply of power. The monitoring of the grid system state and stability relies on the
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This document provides an overview of smart grids, including their components, advantages, and limitations. A smart grid uses two-way digital communication technology to detect and automatically respond to local changes in usage. It aims to reduce costs and carbon emissions by integrating renewable energy sources. Key components include smart meters for sensing usage, core networks for connectivity between substations, and distribution networks for transmitting data to databases. Advantages are reduced carbon, automated control, and increased efficiency. Limitations include inadequate existing infrastructure and intermittent renewable sources.
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Description on smart grid and conventional electricity grid.
importance of smart grid.what is smart grid
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Manel Sanmarti
IREC - Catalonia Institute for Energy Research
WORKSHOP: “DEFINING SMART GRIDS: CONDITIONS FOR SUCCESSFUL IMPLEMENTATION”
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TR@NSENER - European cooperation Network on Energy Transition in ElectricityWireless smart grid
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Q1: How do smart grids differ from current electricity infrastructure in the United States?
2. What management, organization, and technology issues should be considered when developing a smart grid?
3. What challenge to the development of smart grids do you think is most likely to hamper their development?
4. What other areas of our infrastructure could benefit from “smart” technologies? Describe one example not listed in the case.
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Smart Grid Components Control Elements & Smart Grid Technology
1. The document discusses the key components of a smart grid, including monitoring and control technology, transmission systems, smart devices interfaces, distribution systems, storage, and demand side management.
2. It describes each component in detail, explaining their functions and how they improve reliability, integration of renewable resources, and two-way power flow.
3. The technologies that will drive smart grids are identified as integrated communications, sensing and measurement, advanced components, and advanced control methods.
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Smart grid will become the next-generation electrical power system to provide reliable, efficient, secure, and cost-effective energy generation, distribution, and consumption. To achieve these goals, communications infrastructure and wireless networking will play an important role in supporting data transfer and information exchange in smart grid. There has been a desire for a long time to increase the efficiency of the way in which power is generated and delivered to customers. The technology currently in use by the grid is outdated and in many cases unreliable. There have been three major blackouts in the past ten years. The old technology leads to n systems, costing unnecessary money to the utilities, consumers, and taxpayers.
To upgrade the grid, and to operate an improved grid, will require significant dependence on distributed intelligence and communication capabilities. To address the challenges of the existing power grid, the new concept of smart grid has emerged. The smart grid can be considered as a modern electric power grid infrastructure for enhanced efficiency and reliability through automated control, high-power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability ,and so on. For the system, we explore various failure protection mechanisms which improve the reliability of the Smart Grid, and explore the security and privacy issues in the Smart Grid. .
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The document discusses key aspects of smart grids including their importance, structure, and communication techniques. A smart grid uses advanced sensing, communication, and control technologies to modernize electricity delivery systems. It allows two-way communication between utilities and consumers to save energy, reduce costs and emissions. The smart grid consists of home, neighborhood and wide area networks connected by various wireless and wired technologies. Efficient data centers and renewable energy integration are also discussed along with challenges in fully realizing smart grid benefits.
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Importance of Measurements in Smart Grid
- The need to get reliable supply, independence from fossil fuels, and capability to provide clean
energy at a fixed and lower cost, the existing power grid structure is transforming into Smart Grid. The
development of a smart energy distribution grid is a current goal of many nations. A Smart Grid should have
new capabilities such as self-healing, high reliability, energy management, and real-time pricing. This new era
of smart future grid will lead to major changes in existing technologies at generation, transmission and
distribution levels. The incorporation of renewable energy resources and distribution generators in the existing
grid will increase the complexity, optimization problems and instability of the system. This will lead to a
paradigm shift in the instrumentation and control requirements for Smart Grids for high quality, stable and
reliable electricity supply of power. The monitoring of the grid system state and stability relies on the
availability of reliable measurement of data. In this paper the measurement areas that highlight new
measurement challenges, development of the Smart Meters and the critical parameters of electric energy to be
monitored for improving the reliability of power systems has been discussed.
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Journal new horizons volume 81-82
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Smart Grid Technology Paper (SGT) SM54
1. The document discusses smart grid technology, which involves upgrading electrical infrastructure to allow for two-way communication across power grids. This will enable more efficient distribution of power from diverse energy sources like wind and solar.
2. Key components of smart grids include advanced metering infrastructure for two-way utility communication, distribution management systems to model the power network, and geographic information systems to manage critical infrastructure data.
3. While smart grids promise benefits like increased reliability and efficiency, challenges include potential privacy and security issues if communication networks are hacked and ability to control individual buildings' power supply is gained. Increased intelligence is also needed to control the middle portions of grids as more distributed energy sources are added.
40220140502001
This document summarizes an article from the International Journal of Electrical Engineering and Technology that discusses modernizing traditional grids into smart grids through renewable energy sources. It provides background on the motivation to transition to smart grids, including addressing environmental concerns from fossil fuels and the inability of traditional grids to integrate renewable energy. The document outlines key features of smart grids, including reliability, flexibility, efficiency, sustainability, and enabling new energy markets. It also discusses challenges to smart grids, such as differences between energy generation and demand, transmitting power across grids, ensuring energy security, and developing standards to allow different technology components to work together.
Transformer Smart Grid
The definition of the "Smart Grid" is something that is taking shape. Utility professionals concur on some aspects and ideas of what the smart grid should be, but there are still grey areas that, however, promise to become clearer soon.
Smart Grids Vision
The report gives the complete in view of smart grid technology. This document is about the smart grids and its infrastructure. It describes the smart grid’s vision and the framework. It also briefs about the smart grids initiatives and platforms. It presents the current standards and how well are they implemented in the real system.
Smart grid technology
this slide shows what is smart grid ,its comparison between the electromechanical grids . smart meters and devises for the smart grid . benefit of smart grid . and a conclution
Report on smart metering& control of transmission system
This document provides an overview of smart metering and smart grid infrastructure. It discusses key components of a smart metering infrastructure including smart meters, communication systems, meter data management systems, and home area networks. Smart meters can record and store energy usage data at intervals, communicate bidirectionally, and support time-of-use pricing and demand response. Communication systems enable transmission of data from smart meters to utilities. Meter data management systems collect, store, analyze and utilize energy usage data. Home area networks allow customers to access their energy usage data and receive signals from utilities. The document also compares automatic meter reading and smart metering infrastructure and examines smart meter communication technologies suitable for the Indian context.
Smart Grid The Role of Electricity Infrastructure in Reducing Greenhouse Gas ...
This white paper discusses how implementing a smart grid using information and communications technology can help reduce greenhouse gas emissions from the electricity sector in three ways: 1) By reducing growth in electricity demand through tools like smart meters and demand response programs. 2) By accelerating adoption of renewable electricity sources like microgeneration and electric vehicles. 3) By delaying construction of new power plants and transmission lines by prolonging the life of existing infrastructure. The paper outlines the key applications of a smart grid and their potential environmental and economic impacts.
Bw31297301
This document summarizes a research article about implementing smart grids in Iran. It discusses smart networks and their advantages, particularly in Iran. It also surveys smart meter implementation in Iran, addressing standardization, meter specifications, localization, and other implementation aspects. The article outlines Iran's goals for its AMI implementation project called FAHAM, including economic, social and environmental benefits. It then proposes a roadmap for smart metering implementation in Iran, including standardization, education, contractor support, defining equipment specifications, and localization of implementation methods.
Smart grid technology
(a).What is smart grid technology?
(b).Role and necessity of smart grid technology
(c).Benefits and application of grid
(d).Various challenge of grid
(e).Best possible location
report on the Study Of Technology System Of Self-Healing Control In Smart Dis...
The document discusses smart grid technology and its key components. It describes how smart grids aim to enhance grid reliability and integrate renewable energy and other smart technologies. Smart grids allow for two-way energy and information flow and more efficient monitoring and control. The document outlines several technologies that are important for smart grids, including smart transmission grids, information technology, and smart metering systems. Smart transmission grids focus on increasing transmission capacity and developing embedded intelligence. Information technology enables two-way communication and automated analysis. Smart metering systems improve monitoring of power usage.
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More from Kamal Pradhan
FAST DATA PROCESSING WITH APACHE SPARK
The document discusses a case study of using Apache Spark to improve data processing speed. An organization was processing pharmaceutical data batches containing up to 1 billion records, which previously took 2.2 hours using a 5 node Vertica cluster. By migrating to a 3 node Apache Spark cluster on AWS, processing time was reduced by 62%, taking only 1 hour to process 1.2 billion records. Key steps taken included ingesting data into DataFrames, replacing procedures with UDFs, using Spark SQL and partitioning the DataFrame to perform parallel processing across nodes.
Dense wavelength division multiplexing (DWDM): A Review
it is clear that as we approach the 21st century the remarkable revolution in information services has
permeated our society. This rapid growth of information technology has led to new services hungry for transmission
capacity. Communication, which in the past was confined to narrowband voice signals, now demands a high quality
visual, audio, and data context for services such as Voice over-Internet protocol (VoIP), video streaming,
broadcasting of TV programmes, high-speed file sharing, E-commerce and E-Governance need a transmission
medium with very high bandwidth capabilities for handling vast amounts of information. The telecommunications
industry, however, is struggling to keep pace with these changes. Earlier predictions were made that current fiber
capacities would be adequate for our needs into the next century but they have been proven wrong but these fiber-
optics, with its comparatively infinite bandwidth and by employing the latest multiplexing technique, i.e. Dense
Wavelength Division Multiplexing (DWDM) has proven to be the solution.
Mathematical modeling and parameter estimation for water quality management s...
This report describes various problem solving techniques in mathematical modeling for calculating various parameters of water e.g. temperature, pH, Dissolved oxygen. A mathematical model provides the ability to predict the contaminant concentration levels of a river. Here we are using an advection-diffusion equation as our mathematical model. The numerical solution of equation is calculated using Matlab & Mathematica. Parameter estimation is necessary in water modeling to predict the different parameters of water at different point with minimal errors. So here we use 2D & 3D interpolation technique for parameter estimation.
Android Operated Wireless Robot Using 8051 MCU
This document is a certificate certifying that Kamal Pradhan completed a project report entitled "Android Controlled Wireless Robot Using 8051(AT89S52) Micro controller" under the guidance of Mr. Santanu Kumar Dash for the 2013-2014 session. The project report fulfills the necessary requirements and regulations for submission. Kamal Pradhan thanks various people who helped with the project including his guide Mr. Dash and director Prof. S.S. Pujari.
Securing Web Communication Using Three Layer Image Shielding
The internet has revolutionized all forms of communication since the beginning of its existence and serves an important role in data transmission and sharing. Since the rapid growth of internet, information privacy and security have become the most important issues in today’s world. Since the last 2 decades many information hiding techniques have been developed such as digital watermarking, Cryptography and Steganography. Watermarking is the process of embedding a message on a host signal. It has the additional requirement of robustness against possible attacks. A watermark can be either visible or invisible. Using digital watermarking, copyright information can be embedded into the multimedia data Information such the serial number, images or text with special significance can be embedded. The function of this information can be for copyright protection, secret communication, authenticity and distinguishing of data file, etc [1].
Color based image processing , tracking and automation using matlab
Image processing is a form of signal processing in which the input is an image, such as a photograph or video frame. The output of image processing may be either an image or, a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. This project aims at processing the real time images captured by a Webcam for motion detection and Color Recognition and system automation using MATLAB programming.
In color based image processing we work with colors instead of object. Color provides powerful information for object recognition. A simple and effective recognition scheme is to represent and match images on the basis of color histograms.
Tracking refers to detection of the path of the color once the color based processing is done the color becomes the object to be tracked this can be very helpful in security purposes.
Automation refers to an automated system is any system that does not require human intervention. In this project I’ve automated the mouse that work with our gesture and do the desired tasks.
More from Kamal Pradhan (6)
Dense wavelength division multiplexing (DWDM): A Review
Dense wavelength division multiplexing (DWDM): A Review
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Mathematical modeling and parameter estimation for water quality management s...
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Color based image processing , tracking and automation using matlab
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Recently uploaded
ESR spectroscopy in liquid food and beverages.pptx
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityUniversity of Rennes, INSA Rennes, Inria/IRISA, CNRS
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
8.Isolation of pure cultures and preservation of cultures.pdf
Isolation of pure culture, its various method.
The debris of the ‘last major merger’ is dynamically young
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
20240520 Planning a Circuit Simulator in JavaScript.pptx
Evaporation step counter work. I have done a physical experiment.
(Work in progress.)
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Particle-In-Cell (PIC) algorithm,
Plasma expansion in the dipole magnetic field.
SAR of Medicinal Chemistry 1st by dk.pdf
In this presentation include the prototype drug SAR on thus or with their examples .
Syllabus of Second Year B. Pharmacy
2019 PATTERN.
Equivariant neural networks and representation theory
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
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Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
1.Direct Titration
2.Back Titration
3.Replacement Titration
4.Indirect Titration
Masking agent, Demasking agents
formation of complex
comparition between masking and demasking agents,
Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators,
Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators
Instrumental Techniques-Photometry
Potentiometry
Miscellaneous methods.
Complex titration with EDTA.
Recently uploaded (20)
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
Equivariant neural networks and representation theory
Equivariant neural networks and representation theory
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
Smart grid summary
- 1. Smart Grid Traditional power grid can be upgraded into smart grids by incorporating two-way integrated communications and smart computing capabilities for improved efficiency, reliability and decision support. Smart grid enables us to use both conventional energy source e.g. carbon based fuels and renewable energy source e.g. wind and solar energy. Carbon fuel based power plants can cooperate with renewable energy plants to reduce the carbon fuel consumption and pollution caused by it. A smart grid delivers electricity between supplier and consumer using two-way digital technology. To increase reliability, transparency and to reduce cost and save energy smart grids can be used. It incorporates modernization of traditional electricity network by providing real time monitoring of power consumption which helps consumer to minimize their expense on conventional energy by adjusting their home appliances operation to avoid peak hours and utilize the renewable resources. KEY AREAS IN SMART GRID TECHNOLOGIES 1) Sensing and measurement e.g. advanced metering infrastructure system 2) Advanced components e.g. efficient and reliable electric components. 3) Integrated communications e.g. advanced communication protocols 4) Data management and Decision support e.g. supply and demand control system. Our focus is to work on data management and decision support system. The smart grid infrastructure delivers vast amount of data coming from its applications. This data can be harnessed to build an efficient supply and demand control system and next generation distribution control system. Currently we are focusing on supply and demand control system by predicting the power consumption through i) Time-series pattern matching using statistical analysis. ii) Time-series analysis using ARMA and ARIMA models. iii) Artificial neural network. References: 1) Ye Yan, Yi Qian, Hamid Sharif, David Tipper, “A survey on smart grid communication infrastructures: Motivations, Requirements and Challenges” IEEE communication surveys and tutorials, vol. 15, No. 1, 1 st quarter 2013. 2) Andreas Reinhardt, Delphine Christin, Salil S. Kanhere, “Predicting the power consumption of electric appliances through time series pattern matching” Proceedings of the 5th ACM Workshop on Embedded Systems for Energy-Efficient Buildings (BuildSys), pp. 1-2, ACM Press, November 2013. By: - Kamal Pradhan Santanu Patel