Open AccessWind power probabilistic forecasting based on combined decomposition and deep learning quantile regression
Author(s) -
Zhu Zhenglin,
Yusen Xu,
Junzhao Wu,
Yiwen Liu,
Jianwei Guo,
Haixiang Zang
Publication year - 2022
Publication title -
frontiers in energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.734
H-Index - 30
ISSN - 2296-598X
DOI - 10.3389/fenrg.2022.937240
Subject(s) - wind power , probabilistic logic , wind power forecasting , probabilistic forecasting , computer science , quantile , intermittency , wind speed , electric power system , artificial intelligence , power (physics) , engineering , mathematics , meteorology , statistics , physics , turbulence , quantum mechanics , electrical engineering