Open AccessShort-Term Power Prediction of a Photovoltaic Power Station Based on the SSA-CEEMDAN-FCN Model
Author(s) -
Zhaoyang Qu,
Shaohua Qin,
Genxin Xiong,
Xinpo Zhu,
Ling Fan,
Yukun Wang,
Juan Kong
Publication year - 2022
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2022/6486876
Subject(s) - photovoltaic system , computer science , subsequence , longest common subsequence problem , hilbert–huang transform , power (physics) , noise (video) , term (time) , algorithm , divergence (linguistics) , artificial intelligence , white noise , mathematics , engineering , mathematical analysis , telecommunications , linguistics , philosophy , physics , image (mathematics) , quantum mechanics , electrical engineering , bounded function
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