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Students showcasing research posters at the 2015 GCEP Symposium

Physics-aware and Risk-aware Machine Learning for Power System Operations

November 11, 2021 - 1:30pm to 2:30pm
Live Virtual Event: Please register using link
Event Sponsor: 
Stanford Bits and Watts Initiative, Precourt Institute for Energy, TomKat Center for Sustainable Energy, Department of Civil & Environmental Engineering, Department of Electrical Engineering
Contact Email: 
ekolar@stanford.edu

Speaker: Hao Zhu

Seminar Abstract: Hao Zhu will discuss how to bridge physics-aware and risk-aware machine learning advances into efficient and reliable grid operations. 

Speaker Bio: Hao Zhu is an Assistant Professor of Electrical and Computer Engineering at The University of Texas at Austin. Her research focuses on developing innovative algorithmic solutions for learning and optimization problems in future energy systems. Hao Zhu received her BS from Tsinghua University and her MSc and PhD from the University of Minnesota, all in electrical engineering.

Admission Info: Seminar is open to all Stanford students, faculty, and staff. Students enrolled in "CEE 272T/EE 292T: SmartGrids and Advanced Power Systems Seminar" will attend the event in person. All others, please register to attend on Zoom via the RSVP link.