Editorial: Distributed learning, optimization, and control methods for future power grids

被引：0
|
作者：
Liu, Zhi-Wei [1 ]
Liu, Xiao-Kang [1 ]
Yan, Jun [2 ]
Deng, Chao [3 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Key Lab Image Proc & Intelligent Control, Minist Educ, Wuhan, Peoples R China
[2] Concordia Univ, Concordia Inst Informat Syst Engn, Montreal, PQ, Canada
[3] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing, Peoples R China
来源：
FRONTIERS IN ENERGY RESEARCH | 2023年 / 11卷
关键词：
distributed learning; distributed optimization; distributed control; data analytics; microgrids; demand response;
D O I：
10.3389/fenrg.2023.1337268
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
引用
收藏
页数：3
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