Open AccessOptimal frequency regulation based on characterizing the air conditioning cluster by online deep learning
Author(s) -
Yeyan Xu,
Liangzhong Yao,
Siyang Liao,
Yaping Li,
Jian Xu,
Fan Cheng
Publication year - 2021
Publication title -
csee journal of power and energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.118
H-Index - 4
ISSN - 2096-0042
DOI - 10.17775/cseejpes.2020.05940
Subject(s) - robustness (evolution) , computer science , demand response , frequency regulation , key (lock) , automatic frequency control , frequency response , artificial intelligence , controller (irrigation) , machine learning , simulation , real time computing , engineering , power (physics) , electricity , electric power system , telecommunications , computer security , physics , quantum mechanics , agronomy , biochemistry , chemistry , biology , electrical engineering , gene