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G-PST/ESIG Webinar Series: Fostering the Use of AI for Power System Transformation
June 21, 2022 @ 4:00 pm - 5:00 pm EDT
Featured Speakers: Baosen Zhang, Associate Professor, University of Washington; Ferdinando Fioretto, Assistant Professor, Syracuse University
About the Webinar: What is the current state of AI, and how can it be employed for power system transformation? In this panel discussion, researchers in AI and power systems will reflect on the readiness of AI to contribute to the areas of innovation identified in the inaugural G-PST research agenda. They will then identify opportunities for ongoing research and deployment within both the AI and power systems communities. This session will build on the discussion from our March webinar entitled “Open Discussion with Global Power System Operators: The AI Opportunity,” in which global power system operators shared the opportunities and challenges they are facing in decarbonizing electric grids, as well as their initial perspectives on how AI could help. (Participation in the prior webinar is not required to attend this session.) This event is organized in collaboration between G-PST, ESIG, Climate Change AI (CCAI), and the Electric Power Research Institute (EPRI) as part of EPRI’s Artificial Intelligence Grand Challenges initiative.
About the Speakers: Baosen Zhang received his Bachelor of Applied Science in Engineering Science degree from the University of Toronto in 2008; and his PhD degree in Electrical Engineering and Computer Sciences from University of California, Berkeley in 2013. He was a Postdoctoral Scholar at Stanford University.
He is currently the Keith and Nancy Endowed Career Development Professor in Electrical and Computer Engineering at the University of Washington, Seattle, WA. His research interests are in control, optimization and learning applied to power systems and other cyberphysical systems. He received the NSF CAREER award as well as several best paper awards.
Ferdinando Fioretto is an Assistant Professor in the Electrical Engineering and Computer Science department at Syracuse University. His research focuses on machine learning, optimization, privacy, and fairness. Ferdinando’s recent work focuses on how to integrate optimization and machine learning for solving complex decision problems with applications to energy systems, and how to make AI algorithms better aligned with societal values, especially privacy and fairness. Ferdinando is a recipient of the 2022 NSF CAREER award, the 2022 Google Research Scholar Award, the 2021 ISSNAF Mario Gerla Young Investigator Award, the 2021 ACP Early Career Researcher Award, the 2018 AI*AI Best AI dissertation award, and several best paper awards, including two IEEE TPS best paper awards.
Moderator: Priya L. Donti, Carnegie Mellon/Climate Change AI
Registration Cost: FREE
Q&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.