About this Course
This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. 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.
A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning.
With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties.
On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side.
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
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