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个人简介
Shi's research interests are in the area of energy systems and cyberphysical systems, spanning from machine learning, statistics to optimization and control. Her work on input convex neural networks for building energy management has been used in production, and significantly improves existing purely data-driven and linear control methods. Also, she has worked on the integration of energy storage, which has been commercialized for datacenter battery control and grid frequency regulation. She's currently working on data-driven control for energy systems and energy market design under multi-agent learning dynamics.
研究兴趣
论文共 64 篇作者统计合作学者相似作者
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IET RENEWABLE POWER GENERATIONno. 3 (2024): 361-371
CoRR (2024)
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CoRR (2024)
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arxiv(2024)
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Automatica (2024): 111649
IEEE TRANSACTIONS ON SMART GRIDno. 2 (2024): 1608-1619
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASMEno. 1 (2024)
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