| Code | Date | Format | Currency | Team of 10 Per Person* |
Team of 7 Per Person* |
Early Bird Fee Per Person |
Normal Fee Per Person |
|---|---|---|---|---|---|---|---|
| PWR1235 | 07 - 11 Oct 2024 | Kuala Lumpur, Malaysia | SGD | 4,643 | 4,859 | 5,199 | 5,399 |
| PWR1235 | 07 - 11 Oct 2024 | Kuala Lumpur, Malaysia | USD | 3,611 | 3,779 | 3,999 | 4,199 |
*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course dateRequest for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements Request for in-person classroom training or online (VILT) training format
Learn in teams and save more! Enjoy group discounts of up to 50% off normal fees for team based learning. Contact us on [email protected] to learn more today!
Code
PWR1235Date
07 - 11 Oct 2024Format
Kuala Lumpur, MalaysiaCurrency
SGDTeam of 10
Per Person*
4,643
Team of 7
Per Person*
4,859
Early Bird Fee
Per Person
5,199
Normal Fee
Per Person
5,399
Code
PWR1235Date
07 - 11 Oct 2024Format
Kuala Lumpur, MalaysiaCurrency
USDTeam of 10
Per Person*
3,611
Team of 7
Per Person*
3,779
Early Bird Fee
Per Person
3,999
Normal Fee
Per Person
4,199
*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course dateRequest for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements Request for in-person classroom training or online (VILT) training format
About this Course
This 5 full-day course is focused on load forecasting in the power industry, a critical aspect of managing electricity generation and distribution with a focus on key areas described as follows:
Load Forecasting: The course presents advanced load forecasting techniques, which are essential for predicting electricity demand accurately. Load forecasting is critical for grid management and resource planning across all forecasting time horizons.
Temporal Granularity: Some regions have transitioned to load forecasts with finer temporal granularity, moving beyond hourly predictions. This shift aims to reduce forecasting uncertainties and improve real-time grid management and generate improved hybrid methodologies
Frequency of Updates: As the operation of electric grids becomes more complex, there’s a need for more frequent updates in load forecasts, due to the increased penetration of inverter-based resources, which can vary in output rapidly.
Weather Sensitivity Analysis: The course examines how weather conditions impact load forecasts. It covers weather sensitivity analysis, which quantifies the influence of meteorological factors on electricity demand. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data.
Statistical and Mathematical Models: The course delves into the application of statistical and mathematical models for load forecasting. These models often include time series analysis, regression analysis, and other mathematical tools to make predictions.
Artificial Intelligence and Machine Learning (AI/ML): The course highlights the integration of AI and ML techniques in load forecasting. Machine learning algorithms are used for data-driven predictions and pattern recognition, improving forecast accuracy.
Grid Complexity: As the power grid becomes more complex due to increased penetration of renewable and inverter-based resources, load forecasts require higher temporal resolution and adaptability to changing conditions.
Practical Applications-Industry Examples: It emphasizes practical applications of forecasting methods, supported by real-life examples from large control areas in North America, Australia, Europe. This approach helps professionals understand how to apply these methods effectively.
This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting.
This course offers a comprehensive approach to all aspects of load forecasting:
- Gain a perspective of load forecasting from both operators in the generating plant and system operators.
- Understand and review the advanced load forecasting concepts and forecasting methodologies
- Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames
- Appreciate market segmentation and econometric framework for long term forecasts
- Find out the most recent practical application of load forecasting as examples from large power companies
- Get access to recent industry reports and developments
- Energy load forecasting professionals from power plant and system operators
- Energy planners and energy outlook forecasters and plant operators
- Fuel procurement professionals
- Planners and schedulers of thermal generating units
- Intermediate
Your expert course instructor is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5.
With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana.
Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are:
- Modern Power System in Digital Utilities – The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020
- Assessment of OETC Control Centre, Oman, December 2019
- Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019
- Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia)
- The Modern Power System: Impact of the Power Electronics on the Power System
- The Digital Utility, AI and Blockchain
- Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada
- Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia)
- Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level.
- Enterprise Risk methodology, EDP, Portugal
- Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia
- Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA)
- EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016
- Connected+, IOT, Toronto, Canada September 2016 and 2015
- Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014
- Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010
To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.
Request for further information post training support and fees applicable
Learn what past participants have said about EnergyEdge training courses
The training was very engaging, up to trend and on point. The trainer is very experienced.
Senior ERO, ERC
The people here at EnergyEdge are lovely and very helpful in furthering our studies for work.
Energy Regulation Officer I, ERC
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