Power Transmission & Distribution Technical Training > Advanced Load Forecasting & Methodology – Virtual Instructor Led Training (VILT)
Code Date Format Currency Team of 10
Per Person*
Team of 7
Per Person*
Early Bird Fee
Per Person
Normal Fee
Per Person
PWR1108 12 - 14 Dec 2022 Virtual Instructor Led Training (VILT) SGD 1112 1574 1,899 2,099
PWR1108 12 - 14 Dec 2022 Virtual Instructor Led Training (VILT) USD 900 1274 1,499 1,699

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request 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 info@asiaedge.net to learn more today!

Code

PWR1108

Date

12 - 14 Dec 2022

Format

Virtual Instructor Led Training (VILT)

Currency

SGD

Team of 10
Per Person*

1112

Team of 7
Per Person*

1574

Early Bird Fee
Per Person

1,899

Normal Fee
Per Person

2,099

Code

PWR1108

Date

12 - 14 Dec 2022

Format

Virtual Instructor Led Training (VILT)

Currency

USD

Team of 10
Per Person*

900

Team of 7
Per Person*

1274

Early Bird Fee
Per Person

1,499

Normal Fee
Per Person

1,699

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request 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 Virtual Instructor Led Training (VILT)

This 3 half-day Virtual Instructor Led Training (VILT) course will look at the latest statistical and mathematical forecasting frameworks used by industry practitioners to tackle and manage the issue of load forecasting that cuts across short and long time scales.

The VILT course will discuss practical applications to solving forecasting challenges, supported by real life examples from large control areas. The weather impacts on the load forecasts and the methodologies employed to quantify the weather effect while building a repository of weather normal data will be addressed.

A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. Load forecasting methods widely used in the power industry has evolved significantly with modern day advancement with the adoption of Artificial Intelligence techniques such as Machine Learning.

With the increased penetration of inverter-based resources, the operation of electric grids has grown in complexity, leading to load forecasts which are updated more frequently than once a day. Furthermore, several jurisdictions have 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 demand and supply.

Upon completion of this VILT course, the participants will be able to:

  • Review the current approaches to all aspects of load forecasting concepts and methods.
  • Get equipped on market segmentation and econometric framework for long-term forecasting.
  • Develop expertise to build weather normal repositories.
  • Explore Artificial Neural Networks and Probabilistic forecasting methods to manage forecasting uncertainties in short timeframes.
  • Identify the main drivers in load forecasting and develop necessary mechanisms to assess new factors or how changes in the weather patterns affect the load profile and its forecasting uncertainty.
  • Evaluate the impact of cross sectoral growth e.g. electrical vehicles.
  • Learn about the current methodologies adopted by large power companies worldwide.
  • Energy Forecasting Professionals
  • Energy Planners and Energy Outlook Forecasters and Plant Operators
  • Fuel Procurement Professionals
  • Planners and Schedulers of Thermal Generating Units

The VILT course will be delivered online in 3 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises.

Course Duration: 3 half-day sessions, 4 hours per session (12 hours in total).

Your first expert course leader 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.

Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto’s Best Tech Startup 2019 and was named one of the top 10 “Canadian AI Startups to Watch” as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch.

He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor’s and MSc in Mathematics, both at the University of Toronto.

Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin.

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 about post training coaching support and fees applicable for this.