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首页|期刊导航|CSEE Journal of Power and Energy Systems|Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control

Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control

Tianyun Zhang Jun Zhang Feiyue Wang Peidong Xu Tianlu Gao Haoran Zhang Ruiqi Si

CSEE Journal of Power and Energy Systems2024,Vol.10Issue(1):P.13-28,16.
CSEE Journal of Power and Energy Systems2024,Vol.10Issue(1):P.13-28,16.DOI:10.17775/CSEEJPES.2023.00190

Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control

Tianyun Zhang 1Jun Zhang 1Feiyue Wang 2Peidong Xu 1Tianlu Gao 1Haoran Zhang 1Ruiqi Si1

作者信息

  • 1. School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,Hubei,China
  • 2. State Key Laboratory for Management and Control of Complex System,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
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摘要

关键词

AI quantitative intelligence assessment and self-evolution/automated reinforcement learning/Bayesian optimization/corrective control/parallel system

分类

信息技术与安全科学

引用本文复制引用

Tianyun Zhang,Jun Zhang,Feiyue Wang,Peidong Xu,Tianlu Gao,Haoran Zhang,Ruiqi Si..Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control[J].CSEE Journal of Power and Energy Systems,2024,10(1):P.13-28,16.

基金项目

supported by the National Key R&D Program of China[grant number 2018AAA0101504]。 ()

CSEE Journal of Power and Energy Systems

OACSTPCDEI

2096-0042

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