Code Date Venue Early Bird Fee Fee
PWR1039 22 - 26 Nov 2021 Virtual Instructor Led Training (VILT) SGD 2499 SGD 2699 Remind me of Course Dates
PWR1039 22 - 26 Nov 2021 Virtual Instructor Led Training (VILT) USD 1899 USD 2099 Remind me of Course Dates

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Code

PWR1039

Date

22 - 26 Nov 2021

Venue

Virtual Instructor Led Training (VILT)

Early Bird Fee

SGD 2499

Fee

SGD 2699

Code

PWR1039

Date

22 - 26 Nov 2021

Venue

Virtual Instructor Led Training (VILT)

Early Bird Fee

USD 1899

Fee

USD 2099

About this Virtual Instructor Led Training (VILT)

This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand responseand energy conservation programs in light of the integration of new technologies, regulatory changes and theaccelerated penetration of renewable energy resources.

This VILT course provides examples and case studies from North American and European jurisdictions covering theoperational flexibilities on the demand side including requirements for new building codes to achieve zero net energy.The course describes a public agency’s goals and objectives for conserving and otherwise reducing energyconsumption and managing its demand for energy. This course presents the demand response implemented foreconomics and system security such as system balancing and relieving transmission congestion, or for systemadequacy. The course also presents the principal attributes of conservation programs and the associated successcriteria. In a system with increased penetration of renewable resources, demand response provides flexibility to systemoperators, helping them to maintain the reliability and the security of supply.

Demand response is presented as a competitive alternative to additional power sources, enhancing competition andliquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from asystem perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperabilityaspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOTenabled flexibilities at system level, distribution networks and microgrids.

The course introduces the blockchain as a new line of defense against cyber threats and its increasing application inP2P transactions and renewable certificates. Our trainer’s industry experience spans three decades with one of thelargest Canadian utilities where she led or contributed to large operational studies and energy policies and decades ofwork with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state ofthe art methodologies brings real life experience of recent industry developments.

  • Innovative Digital Technologies
  • How systems Facilitate Operational Flexibility on the Demand Side
  • The Ecosystem of Demand Side Management Programs
  • Advanced Machine Learning techniques with examples from CAISO
  • Regulatory Policy Context and how to reduce regulatory barriers
  • Industry Examples from NERC and ENTSO
  • Relevant Industry standards: IEEE and IEC
  • Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe)
  • Grid solutions with IEC 61850 communication protocols
  • Decentralized grid controls
  • The New Grid with accelerated V2G and Microgrids
  • How DSM is and will be applied in Your System: Examples and discussions
  • Regulators and government agencies advising on public energy conservation programs
  • All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector
  • Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices
  • Any utility professional interested in understanding the new developments in the power industry

The VILT will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises.

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.