z-logo
open-access-imgOpen Access
Reinforced MCTS for non-intrusive online load identification based on cognitive green computing in smart grid
Author(s) -
Yanmei Jiang,
Mingsheng Liu,
Jianhua Li,
Jingyi Zhang
Publication year - 2022
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2022540
Subject(s) - computer science , reinforcement learning , smart grid , identification (biology) , resource (disambiguation) , construct (python library) , grid , convolutional neural network , real time computing , electric power system , tree (set theory) , distributed computing , artificial intelligence , machine learning , power (physics) , engineering , computer network , mathematical analysis , botany , geometry , mathematics , physics , quantum mechanics , electrical engineering , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here