About This Training Course
Load forecasting is a central and integral process for planning periodical operations and facility expansion in the electricity sector. Demand pattern is almost very complex due to the deregulation of energy markets. Therefore, finding
an appropriate forecasting model for a specific electricity network is not an easy task. Although many forecasting
methods were developed, none can be generalized for all demand patterns. This training presents a pragmatic
methodology that can be used as a guide to construct Electric Power Load Forecasting models. The trainer brings with
him real case studies and examples from his direct experience in this industry.
Learning Outcomes
Participants will be able to understand and put into the practice the following key learnings
Significance and implementation of Load Forecast
Accuracy vs. Sensitivity of Load Flow assessment
Data mining and information requirement for the analysis
Methodology
Building a benchmark model for different utilities and examples from practice
Practical implementation, best practice and continuous updates
Who Should Attend
Load/price forecasters, energy traders, quantitative/business analysts in the utility industry, power system planners,
power system operators, load research analysts, and rate design analysts
Summary of Modern power system planning part one
"The Forecasting of Growth of Demand for Electrical Energy"
the main topic of this chapter is the analysis of the various techniques required for utility planning engineers to optimally plan the expansion of the electrical power system.
Load forecasting is a process to estimate the need or demand for power from a system. It helps to maximize efficiency and minimize the operational cost of any power generation unit. Some common models are used for this purpose among which the five most used models for load predictions are discussed here.
Summary of Modern power system planning part one
"The Forecasting of Growth of Demand for Electrical Energy"
the main topic of this chapter is the analysis of the various techniques required for utility planning engineers to optimally plan the expansion of the electrical power system.
Load forecasting is a process to estimate the need or demand for power from a system. It helps to maximize efficiency and minimize the operational cost of any power generation unit. Some common models are used for this purpose among which the five most used models for load predictions are discussed here.
Systems engineering and analysis track presentation from Milsoft's 2009 User Conference. It was delivered by Jennifer Taylor and Chris Hammond. The Milsoft Electric Utility Solutions Users Conference is the premier event for both our users and vendors offering interoperable utility management services that enhance Milsoft Smart Grid Solutions. If you’d like to be on our mailing list, just email: missy.brooks@milsoft.com.
transmission versus distribution planning, long term versus short term planning,issues in transmission planning,generation planning,capacity resource planning, transmission planning,national and regional planning, integrated resource planning
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Power system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewables
This chapter deals with the reliability analysis of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with the generation of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with Load forecasting of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
The slides of the talk I gave on April 2011 in Paris at the IEEE Symposium on Computational Intelligence Applications in Smart Grid (http://ieee-ssci.org/2011/ciasg-2011).
Systems engineering and analysis track presentation from Milsoft's 2009 User Conference. It was delivered by Jennifer Taylor and Chris Hammond. The Milsoft Electric Utility Solutions Users Conference is the premier event for both our users and vendors offering interoperable utility management services that enhance Milsoft Smart Grid Solutions. If you’d like to be on our mailing list, just email: missy.brooks@milsoft.com.
transmission versus distribution planning, long term versus short term planning,issues in transmission planning,generation planning,capacity resource planning, transmission planning,national and regional planning, integrated resource planning
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Power system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewablesPower system planning and trends relevance to renewables
This chapter deals with the reliability analysis of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with the generation of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with Load forecasting of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
The slides of the talk I gave on April 2011 in Paris at the IEEE Symposium on Computational Intelligence Applications in Smart Grid (http://ieee-ssci.org/2011/ciasg-2011).
To develop a predictive model to forecast energy load demand based on historical load data.
This analysis will help utility providers (like Nstar) to balance the grid, in terms of demand and supply. This is a constant problem faced by them, due to the difficulty of storing energy.
This 3-day planning course has been designed for engineering managers and engineers who work for owners and operators of both high and low voltage electricity networks in the range from 230/415V to 132kV. The delegates will get a full understanding of issues associated with planning of MV and LV electricity networks via a practical approach that contains worked and delegate examples. The course will introduce planning concepts, various network configurations along with protection systems and the types of equipment used in typical systems. It also covers fault level, power quality, harmonics, power factor, cable ratings, earthing and lightning protection.
Although the probability of failures of electrical equipment such as switchgear, transformers, protection systems and ancillary equipment are low, the consequences of failure can be substantial. It is therefore vital to keep up the switchgear safe and reliable. This 2-day course is aimed at owners, operators and users of electrical switchgear in industrial and commercial organisations in both high and low voltage networks, plant and equipment. This training course will deal with the issues around design, maintaining and operating switchgear safe. It provides the latest UK industry practices and incorporates the very latest R&D work being undertaken by UK electricity utilities. It will help managers, engineers and others to understand their responsibilities and duties in the selection, use, operation and maintenance of high-voltage switchgear. Safety issues associated with switchgear and the non-invasive diagnostic techniques in use today will be fully discussed. Degradation processes are well determined with the latest monitoring techniques as well as typical failure modes in switchgear and other electrical equipment. By using historic performance information, failure data coupled to modern diagnostic information and simple but effective asset management techniques the risk of failure can be considerably reduced. The learning process is also aided by the use of practical advice and case examples.
Recent many works have concentrated on
dynamically turning on/off some base stations (BSs) in order to
improve energy efficiency in radio access networks (RANs). In
this survey, we broaden the research over BS switching
operations, which should competition up with traffic load
variations. The proposed method formulate the traffic variations
as a Markov decision process which should differ from dynamic
traffic loads which are still quite challenging to precisely forecast.
A reinforcement learning framework based BS switching
operation scheme was designed in order to minimize the energy
consumption of RANs. Furthermore a transfer actor-critic
algorithm (TACT) is used to speed up the ongoing learning
process, which utilizes the transferred learning expertise in
historical periods or neighboring regions. The proposed TACT
algorithm performs jumpstart and validates the feasibility of
significant energy efficiency increment.
A Vision for a Holistic and Smart Grid with High Benefits to SocietyStephen Lee
Presented on Dec 2, 2009 as a keynote speech to the 2009 T&D Asia Conference in Bangkok and followed by moderating a round-table discussion of top utility executives in SE Asia.
Study on the performance indicators for smart grids: a comprehensive reviewTELKOMNIKA JOURNAL
This paper presents a detailed review on performance indicators for smart grid (SG) such as voltage stability enhancement, reliability evaluation, vulnerability assessment, Supervisory Control and Data Acquisition (SCADA) and communication systems. Smart grids reliability assessment can be performed by analytically or by simulation. Analytical method utilizes the load point assessment techniques, whereas the simulation technique uses the Monte Carlo simulation (MCS) technique. The reliability index evaluations will consider the presence or absence of energy storage elements using the simulation technologies such as MCS, and the analytical methods such as systems average interruption frequency index (SAIFI), and other load point indices. This paper also presents the difference between SCADA and substation automation, and the fact that substation automation, though it uses the basic concepts of SCADA, is far more advanced in nature.
PVPF tool: an automated web application for real-time photovoltaic power fore...IJECEIAES
In this paper, we propose a fully automated machine learning based forecasting system, called Photovoltaic Power Forecasting (PVPF) tool, that applies optimised neural networks algorithms to real-time weather data to provide 24 hours ahead forecasts for the power production of solar photovoltaic systems installed within the same region. This system imports the real-time temperature and global solar irradiance records from the ASU weather station and associates these records with the available solar PV production measurements to provide the proper inputs for the pre-trained machine learning system along with the records’ time with respect to the current year. The machine learning system was pre-trained and optimised based on the Bayesian Regularization (BR) algorithm, as described in our previous research, and used to predict the solar power PV production for the next 24 hours using weather data of the last five consecutive days. Hourly predictions are provided as a power/time curve and published in real-time at the website of the renewable energy center (REC) of Applied Science Private University (ASU). It is believed that the forecasts provided by the PVPF tool can be helpful for energy management and control systems and will be used widely for the future research activities at REC.
In this webinar, the editors of the Green Book on the “Electricity Supply Systems of the Future” will describe their long journey to summarize the collective knowledge acquired in CIGRE Study Committees. This journey can never be over, as visions become realities or become obsolete and new challenges and developments unavoidably appear. Nevertheless, the Green Book provides CIGRE’s unique and unbiased technical views for the current and future state of electricity supply systems. It also shows the value of global collaborative work of numerous experts from industry and academia mobilized within the CIGRE community. CIGRE is the foremost authority for end-to-end power system expertise.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Load Forecasting
1. 3rd
Successful Run in Asia!
LOAD FORECASTING IN POWER SYSTEMS
A pragmatic methodology that can be used as a guide to construct Electric Power Load Forecasting models
with real case studies
27 – 29 JUNE 2016, MANILA, PHILIPPINES
Vukan Polimac
Chartered Engineer MIET CIGRE SMEIT SAIEE
Fellow of IET, IEEE, CIGRE
Consultant in Polimac Ltd
Expert Course Faculty Leader
TOPICS INCLUDES
Building a benchmark model for
different utilities and examples
from practice
Practical implementation, best
practice and continuous updates
Significance and implementation
of Load Forecast
Accuracy vs. Sensitivity of Load
Flow assessment
Data mining and information
requirement for the analysis
Methodology
Another Quality Training By
2. LOAD FORECASTING IN POWER SYSTEMS
27 – 29 JUNE 2016, MANILA, PHILIPPINES
www.poweredgeasia.com
About This Training Course
Learning Outcomes
Who Should Attend
This training course has a limited attendance for up to 20 participants only.
Sessions commence at 9am on all days, with short intervals at 10.30am and 3.30pm respectively.
Refreshments will be provided in the short intervals.
Lunch will be provided at 12:30pm for 1 hour. Sessions will end at 5pm on all days.
Load forecasting is a central and integral process for planning periodical operations and facility expansion in the
electricity sector. Demand pattern is almost very complex due to the deregulation of energy markets. Therefore, finding
an appropriate forecasting model for a specific electricity network is not an easy task. Although many forecasting
methods were developed, none can be generalized for all demand patterns. This training presents a pragmatic
methodology that can be used as a guide to construct Electric Power Load Forecasting models. The trainer brings with
him real case studies and examples from his direct experience in this industry.
Participants will be able to understand and put into the practice the following key learnings
Significance and implementation of Load Forecast
Accuracy vs. Sensitivity of Load Flow assessment
Data mining and information requirement for the analysis
Methodology
Building a benchmark model for different utilities and examples from practice
Practical implementation, best practice and continuous updates
Load/price forecasters, energy traders, quantitative/business analysts in the utility industry, power system planners,
power system operators, load research analysts, and rate design analysts
VUKAN’S INVOLVEMENT IN LOAD FORECAST
Continuous 2.5 years working as Planning Assistant in Distribution Utility in Port Elizabeth with direct responsibility for
Load Forecasting and System Planning of 132kV network
Master plan for Mauritius, working on load forecast and T&D planning
Responsible for creating a Long term strategic plan and medium plan with providing the appropriate load forecast for
Yemen Republic
Load Forecasting and System Planning for Palestine with interconnections to the Master plan of the region including
Israel, Syria, Egypt and Jordan
Short term planning with assessment of immediate load and short term forecast in Tajikistan
Dynamic load forecast and wind farms generation input with weather correction factors as part of renewables connection
and implementation of smart grid techniques
5 year investment plans based on predicted load forecast for five different areas in Victoria
3. LOAD FORECASTING IN POWER SYSTEMS
27 – 29 JUNE 2016, MANILA, PHILIPPINES
www.poweredgeasia.com
Day 1
Significance and implementation of Load Forecast
Inexact Load Forecast leads to increased costs in
supplementary application
Load Forecast as crucial input to System Planning
Load Forecast as a basis for Energy Saving evaluation
Accuracy vs. Sensitivity of Load Flow assessment
The Art of forecasting and planning
Strategic vs. virtual forecast; different approach
Long term forecast and impact on investment
Short term forecast or dynamic change of load impact
on local Energy Market
Day 2
Data mining and information requirement for the analysis
Macro Economics for long term planning, GDP,
Inflation, unemployment, price indexes, national
income, investment…
Micro economics, local development, taxation
system, relative prices ratios, demand-supply
matching,
Stakeholder’s information (utilities, ministries,
independent agencies etc.)
Historical values and trends
Social and Environmental influences
New technology application – Energy efficiency and
energy storage
Methodology
General approach and differences in application
i. Driving factors – Economy, Climate, Weather, Social
activities, Stakeholders activities, Main specific
characteristics of electrical load
ii. Analysis by graphic methods for comparison
iii. Type of load, technical parameters affecting the LF
values
Specific requirements for LF for generation planning
Spatial forecasting for transmission and distribution
planning
Econometric approach
Basic econometrics models; Statistical
models
Linear regression, Generalized linear models,
Probabilistic models
Artificial Intelligence methods, neural
networks, fuzzy logic
Software application
Weather Normalization corrections
Application of sensitivity methods
Day 3
Building a benchmark model for different utilities and examples from
practice
Urban, Rural, Industrial, Commercial, Transportation, Special
consumers
Spatial forecast/planning
Methods for large and small utilities, identify special features
for local utility
Specific approach for short LF usually referred as to emergency
or immediate requirements
Practical implementation, best practice and continuous updates
Iterative process requiring constant updates
Continuous improving of the forecast through application of
new methods in the latest software models and refined
parameters
Lessons learned on previous forecasts
2 Day Course Outline
4. LOAD FORECASTING IN POWER SYSTEMS
27 – 29 JUNE 2016, MANILA, PHILIPPINES
www.poweredgeasia.com
Your Expert Faculty
Vukan Polimac
In his 30 years working experience he provided highest quality services in system planning and analysis to major
transmission and distribution and transportation companies including London Underground, National Grid Company
(UK), MTRC Metro in Hong Kong, West Coast Main Line connection to NG, Scottish Power, ESB-Ireland, ESKOM-South
Africa, Mauritius CEB, Balkan countries - grids of Romania and former Yugoslavia, HV network ISA-Colombia, Western
Power Distribution-UK, etc.
Vukan’s technical expertise includes most aspects of power systems analysis, electrical asset management and railway
connections to power networks where he provides solutions to technical problems and supports other field’s experts in
complex assignments. He has project management skills in technical and environmental projects as well as experience
in short and long-strategic term planning, maintenance and asset management, power quality analysis of transmission
and generation systems, distribution, transportation and other power networks. Experienced in generation and network
integration, electrical component of energy master plans as well as strategic asset replacement, he was also involved in
load- forecast analysis and generation dispatching. Published papers on asset management based on projects and
experience in working for distribution companies in Africa and Europe.
Vukan is very experienced in design, procurement, commissioning, erection and refurbishment of major projects in
transmission and distribution substations up to 420 kV and hydro and thermal power plants. Served as project manager
on several major projects as well as head of the Engineering Group, Vukan was responsible for final design, equipment
specifications, layouts tender evaluation and commissioning. He has carried out conceptual development of protection
and control philosophy for various projects as well as reviewed and approved project drawings and documents. He has
applied the latest IEC standards, various codes of practice and engineering recommendations. He has also specific
experience in conceptual design of power supply for transportation and traction railway systems, defining the design
principles and technical specifications for future design and privatisation process. He has analysed quality of power
supply for connection of AC and DC unbalanced load to power network and published papers on practical
implementation. Vukan carried out feasibility studies on reactive compensation (SVC and MSC) focusing on voltage
variation and harmonic distortion issues.
Vukan has performed technical and economic evaluations, cost benefit net present value analysis, of various transmission
and distribution schemes and electrical equipment. He carried out a number of asset evaluation analysis on electrical
equipment and published papers on asset management, reliability and maintenance. He has performed equipment
assessment and residual life prediction as part of strategic asset management analysis for a major underground
transportation company in Asia. His duties have also included equipment arrangement optimisation in particular
reliability aspect in terms of failure rate and financial consequences as non-supplied energy to the consumers.
5. LOAD FORECASTING IN POWER SYSTEMS
27 – 29 JUNE 2016, MANILA, PHILIPPINES
www.poweredgeasia.com
4 Pillars of Transformer Condition
Advanced Project Finance for Power
Advanced Technical Report Writing & Presentation Skills
Advanced Turnaround Shutdown & Outage Management
Ancillary Services in Competitive Electricity
Asset Management for the Power Industry
Best Practice Renewable Energy Capital & Project Management
Biomass Power Generation
CFB Combustion for Boiler Operations
Clean Development Mechanism and Carbon Markets
Coal Contracts
Combined Cycle Power Plants Operation
Combined Heat & Power (CHP) and Co-Generation Plant Operations
Competency Management System for the Power Industry
Design & Operations of Circulating Fluidized Bed Boiler
Developing & Structuring Public-Private Partnership (PPP) for Infrastructure
Effective Tender Process Management for Power & Utilities
Electrical Hazop (eHazop) Studies for the Power Industry
Electricity Demand-Side Management
Electricity Industry Design
Electricity Network Planning
Electricity Retail Contracts
Electricity Theft
Electricity Trading Essentials
Energy Efficiency
EPC Contract Management for Power & Utilities
Essentials of Coal Markets and Trading
Essentials of Power Trading
Excitation Systems
Feed-In Tariffs for PV Systems
Finance for Non-Finance Professionals in Power & Utilities
Financial Modelling for Project Finance in Power & Utilities
Fitness-For-Service AP1 579 & High Energy Piping Life Management
Fundamentals of Geothermal Energy
Fundamentals of Power Generation
Gas & LNG Contract Negotiation
Gas Turbine Generator Selection, Operation & Maintenance
Gas Turbine Hot Gas Paths, Rotors & Failure Analysis
Gas Turbine Major Inspection & Overhaul
GE Gas Turbine Operations Simulation Based
HRSG Design, Operations & Understanding, Controlling of HRSG Damage
Mechanisms
HV Substation Design & Construction
IEC for Utilities
Integration of Distributed Generation
Introduction to Carbon Capture & Storage
Introduction to Clean Coal Technology
Introduction to Power Systems
Keeping Electrical Switchgear Safe
Leadership & Team Dynamics for Power & Utilities
LNG Fundamentals
LNG Markets & SPOT Trading
Maintenance Planning & Scheduling
Making IPP & Renewable Energy Projects Contract
Frameworks Bankable
Managing Complex Projects for Power and Utilities
Professionals
Medium Voltage & High Voltage Switchgear
Metallurgy for Engineers
Mechanical Engineering for Non-Mechanical Engineers
Mini Hydro Project Analysis
MKV Speedtronic Control System
MK VI Speedtronic Control System
Nuclear Energy Project Planning & Economics
Nuclear Power
Offshore Platforms Electrical Systems Design &
Illustrations
Operations of Coal Fired Power Plants
Power Generation Commissioning, Operations &
Maintenance
Power Generation Operation, Protection & Excitation
Control
Power Plant Chemistry for Chemist & Chemical Engineers
Power Purchase Agreements
Process Control Methods
Programmatic CDM
Project Management for Power and Utilities
Relay Protection in Power Systems
Reliability Centered Maintenance Masterclass
Reliability Engineering
Renewable Energy Development & Investment
Renewable Energy Integration
Risk Based Inspection
Risk Management in Power Markets
Root Cause Analysis
Rotating Equipment Maintenance & Reliability
Excellence
SCADA & Power Systems
Smart Grid
Solar Energy & Photovoltaic Power
Spare Parts Optimisation
Supercritical and Ultra-Supercritical Coal-Fired Power
Plant
Technical Report Writing & Presentation Skills for Power
& Utilities Professionals
Ultra Low NOx Gas Turbine Combustion
Uninterruptible Power Supply
Vibration Analysis & Condition Monitoring
Waste to Energy Plant Operations
Water Treatment and Corrosion Control for Steam
Generation and Power Production
Writing Effective Standard Operating Procedures (SOP)
for Power & Utilities Professionals & Engineers
OTHER AVAILABLE COURSES
6. LOAD FORECASTING IN POWER SYSTEMS
27 – 29 JUNE 2016, MANILA, PHILIPPINES
www.poweredgeasia.com
1. Does PowerEdge have other programmes than those
listed?
We have more than 200 programmes that we are capable of
running. All we need is for you to contact us and request for
the preferred programme and we will able to develop it.
2. Where is PowerEdge based?
PowerEDGE is headquartered in Singapore but we run our
training programmes in different venues around Asia.
3. What does PowerEdge do?
We are a Power & Utilities Training Specialist.
4. Can this course be done in our city?
It absolutely can. Get in touch with us to request for a training
programme to be carried out in your city.
5. Can you reduce the price of our preferred course?
While our price has been reduced before it is even launched,
we are always happy to help you with further discounts.
6. Can you change the dates of the course?
If you have a special requested date, let us know and we will
arrange another session for you.
7. Who are the companies that will be participating?
This varies from a diversity of Power Operators, Regulators,
Financiers, to Vendors in the Power & Utilities industry.
8. Where is the venue for the course?
We usually engage a 4 to 5 star hotel meeting room to ensure
the comfort of our participants.
9. How many delegates should we expect for each course?
This varies from 15 to 20 participants. Class sizes are kept small
to allow trainers to focus better on each participant.
10. What are the different payment modes?
We accept Visa/MasterCard, cheques, bank transfers and cash
on site.
11. Is accommodation included when I sign up for a course?
Accommodation is not included in the course fee but we are
always happy to advise on available accommodations.
12. Can I get a cheaper accommodation through PowerEdge?
We will be pleased to help you negotiate a better rate with
hotels.
13. Is lunch provided during the course?
We provide lunch and 2 tea breaks every day during our
training programmes.
14. Are the training materials included once I have signed up
for a course?
Yes, training and course materials are included in the course
fee.
15. Will there be a certificate for the course?
Yes, there will be a certificate of participation upon completion
of a course.
16. Who are PowerEdge trainers?
They are expert consultants and practitioners with many years
of experience in the subject matter that they deliver on.
17. Are PowerEdge trainers competent?
We have received numerous favourable feedbacks on our
trainers from past participants.
18. Can PowerEdge assist with Visa travel applications?
We can assist in advising you on the relevant procedure(s) and
embassies/consulates that provide Visa for travel purposes.
19. Can we purchase training materials without attending a
course?
Unfortunately this option is not available as training materials
are specially developed for courses.
20. Can course content be tweaked to cater to our needs?
Of course! Just let us know your request and we will get the
trainer to assist in carrying it out.
Frequently Asked Questions (FAQs)
7. LOAD FORECASTING IN POWER SYSTEMS
27 – 29 JUNE 2016, MANILA, PHILIPPINES
www.poweredgeasia.com
*GST FOR SINGAPORE REGISTERED COMPANIES ONLY
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Organisation name ...............................................................................Industry...................................................................................................
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Tel ..........................................................................................................Fax.........................................................................................................
NORMAL PRICE
EARLY BIRD
ENDS 30 APR 2016
GROUP OF 3 or More
3 Day
Programme
SGD 3,200
Per Participant
SGD 3,000
Per Participant
SGD 2,700
Per Participant
*SGD 3,440
Per Participant
(GST Inclusive)
*SGD 3,210
Per Participant
(GST Inclusive)
*SGD 2,889
Per Participant
(GST Inclusive)
Keeping Electrical
Switchgear Safe
Introduction to Power
Systems
Excitation Systems
Fundamentals of Power
Generation
ATTENDEE DETAILS
COMPANY DETAILS
PAYMENT METHODS
By Cheque/ Bank Draft: Make Payable to PowerEdge Pte Ltd.
By Telegraphic Transfer: Please quote AE1 with the remittance advise
Account Name: PowerEdge Pte. Ltd.
Bank Code: 7339 Branch code: 686 Account Number: 686-253386-001 Swift Code: OCBCSGSG
Bank Address: 65 Chulia Street OCBC Centre, Singapore 049513
All bank charges and payment in Singapore dollars (SGD) to be borne by payer. Please ensure that PowerEdge Pte Ltd receive the full invoiced amount.
PAYMENT POLICY
Payment is due in full at the time of registration. Full payment is mandatory for event attendance. I agree to PowerEdge Pte Ltd. payment terms
* GST- Exclusive price is only applicable for overseas corporate customers subject to qualifying conditions.
CANCELLATIONS & SUBSTITUTIONS
You may substitute delegates at any time. POWEREDGE PTE LTD does not provide refunds for cancellations. For cancellations received in writing more than seven (7) days prior to the training course you will receive a 100% credit to be used
at another POWEREDGE PTE LTD training course for up to one year from the date of issuance. For cancellations received seven (7) days or less prior to an event (including day 7), no credits will be issued. In the event that POWEREDGE PTE
LTD cancels an event, delegate payments at the date of cancellation will be credited to a future POWEREDGE PTE LTD event. This credit will be available for up to one year from the date of issuance. In the event that POWEREDGE PTE LTD
postpones an event, delegate payments at the postponement date will be credited towards the rescheduled date. If the delegate is unable to attend the rescheduled event, the delegate will receive a 100% credit
ON SITE TRAINING
Can’t make it for the Course?
We’ll make the course come to
you!!
Simply let us know your
preferred time and dates and
we will meet you at your
schedule and venue.
With a host of highly trained
experts, we will be happy to
customize your programme
with your needs 100% fulfilled.
Contact us today at
info@poweredgeasia.com
(65) 6741 9927
RELATED TRAINING
Online Web Registration
info@poweredgeasia.com
(65) 6741 9927
(65) 67478737
REGISTER