Exploring Physics Informed Deep Reinforcement Learning For Power System Optimization And Control
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- Presentation of our work: G. Misyris, A. Venzke, S. Chatzivasileiadis, "
- In this work we develop an artificial intelligence able to perceive (detect state variables) and reason (make accurate forecasts ...
- PhD Defense of Jochen Stiasny at DTU, on September 18, 2023.
- Séminaire du GERAD Webinaire :
- Power
In-Depth Information on Physics Informed Deep Reinforcement Learning For Power System Optimization And Control
MIT EESG Seminar Series Spring 2022 Time: Apr 6, 2022 Speaker: Dr. Junbo Zhao (Univ of Connecticut) Title: This is the full title: Reliable Recent years have witnessed rapid transformations of contemporary advances in machine SPEAKER: Baosen Zhang is the Keith & Nancy Rattie Endowed Career Development Professor in the Department of
AI & the real-world
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