基本信息
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Career Trajectory
Bio
My research interests lie in control, optimization, and machine learning for power systems. Specifically, I worked on the control and stability of inverter-based generation and security-constrained economic dispatch in microgrids. The theories employed include but are not limited to control theory, convex optimization, Lyapunov theory, deep learning, and deep reinforcement learning.
Please check my personal website (https://shebuxin.github.io) for more information.
Research Interests
Papers共 43 篇Author StatisticsCo-AuthorSimilar Experts
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期刊级别
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合作机构
IEEE transactions on sustainable energyno. 2 (2024): 938-951
IEEE Transactions on Industry Applicationsno. 99 (2024): 1-10
IEEE transactions on smart gridno. 3 (2024): 2521-2533
2024 IEEE Applied Power Electronics Conference and Exposition (APEC)pp.2954-2959, (2024)
IEEE transactions on smart gridpp.1-1, (2024)
IEEE transactions on smart gridno. 1 (2024): 99-112
IEEE TRANSACTIONS ON ENERGY CONVERSIONno. 1 (2024): 214-228
Electric power systems research (2024): 110092-110092
International journal of electrical power & energy systems (2024): 109749-109749
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Author Statistics
#Papers: 43
#Citation: 91
H-Index: 5
G-Index: 7
Sociability: 4
Diversity: 2
Activity: 35
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