Reinforced MCTS for non-intrusive online load identification based on cognitive green computing in smart grid | Zendy

Yanmei Jiang | Zendy; Mingsheng Liu | Zendy; Jianhua Li | Zendy; Jingyi Zhang | Zendy

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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

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