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DTSTART;TZID=America/New_York:20221020T160000
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SUMMARY:G-PST/ESIG Webinar Series: Probabilistic Resource Adequacy Methods
DESCRIPTION:Download Presentation \nView Webinar Recording \nDownload Q&A Responses \n\nFeatured Speaker: Derek Stenclik\, Founding Partner\, Telos Energy \nDerek Stenclik\nAbout the Webinar: This presentation will provide an update on what’s happening in the world of probabilistic resource adequacy methods. Think of it as a “Best of Album” in the niche genre of resource adequacy and reliability planning. By drawing on recent study work from around the world\, the presentation will cover novel approaches to model resource adequacy across broad regions\, the consideration of extreme weather\, modeling approaches for battery energy storage\, the effects of correlated outages thermal generators\, considering benefits of transmission\, and much more. The objective is to provide both practitioners and end users of resource adequacy models an overview of new studies and approaches needed to ensure reliability during the clean energy transition. \nAbout the Speaker: Derek Stenclik is a founding partner of Telos Energy\, an analytics and consulting firm specializing in renewable integration\, system planning\, and grid modeling. Prior to founding Telos Energy\, Derek spent eight years in GE Power’s Energy Consulting department as the Senior Manager of Power System Strategy. He holds an M.S. degree in Applied Economics and Management from Cornell University and a B.A. in International Relations from the State University of New York\, College at Geneseo. Derek is a lifelong native of Upstate New York and currently resides in the town of Niskayuna with his wife and three sons. \nModerator: Julia Matevosyan\, Chief Engineer\, ESIG \nRegistration Cost: FREE \nQ&A Session: We will be using the slido platform for Q&A. Please submit your questions and follow-along during the event at this link.
URL:https://www.esig.energy/event/g-pst-esig-webinar-series-probabilistic-resource-adequacy-methods/
CATEGORIES:Webinars
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