文献
J-GLOBAL ID:202202290557115887
整理番号:22A0959808
電力グリッド回復力を強化するための強化学習と最適電力配分の統合【JST・京大機械翻訳】
Integrating Reinforcement Learning and Optimal Power Dispatch to Enhance Power Grid Resilience
著者 (7件):
Li Qingming
(School of Automation, Beijing Institute of Technology, Beijing, China)
,
Zhang Xi
(School of Automation, Beijing Institute of Technology, Beijing, China)
,
Guo Jianbo
(Power System Department, China Electric Power Research Institute, Beijing, China)
,
Shan Xiwen
(School of Automation, Beijing Institute of Technology, Beijing, China)
,
Wang Zuowei
(School of Automation, Beijing Institute of Technology, Beijing, China)
,
Li Zhen
(School of Automation, Beijing Institute of Technology, Beijing, China)
,
Tse Chi K.
(Department of Electrical Engineering, City University of Hong Kong, Hong Kong)
資料名:
IEEE Transactions on Circuits and Systems 2: Express Briefs
(IEEE Transactions on Circuits and Systems 2: Express Briefs)
巻:
69
号:
3
ページ:
1402-1406
発行年:
2022年
JST資料番号:
W0347A
ISSN:
1549-7747
CODEN:
ITCSFK
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)