Two-stage day-ahead multi-step prediction of wind power considering time-series information interaction
Mao YangKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin, 132012, ChinaXiangyu LiKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin, 132012, ChinaFulin FanInstitute for Energy and Environment, University of Strathclyde, Glasgow, G1 1XW, UKBo WangState Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute), Beijing, 100192, ChinaXin SuKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin, 132012, ChinaChenglian MaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin, 132012, China
2024en
ABI
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Cited by 40 references