首页|期刊导航|全球能源互联网（英文）|Forecasting method of monthly wind power generation based on climate model and long short-term memory neural network
全球能源互联网（英文）2020，Vol.3Issue(6)：571-576,6.DOI:10.14171/j.2096-5117.gei.2020.06.007
Forecasting method of monthly wind power generation based on climate model and long short-term memory neural network
Forecasting method of monthly wind power generation based on climate model and long short-term memory neural network
摘要
关键词
Wind power/Monthly generation forecast/Climate model/LSTM neural networkKey words
Wind power/Monthly generation forecast/Climate model/LSTM neural network引用本文复制引用
Rui Yin,Dengxuan Li,Yifeng Wang,Weidong Chen..Forecasting method of monthly wind power generation based on climate model and long short-term memory neural network[J].全球能源互联网（英文）,2020,3(6):571-576,6.基金项目
This work was supported by National Key R & D Program of China "Study on impact assessment of ecological climate and environment on the wind farm and photovoltaic plants" (2018YFB1502800) （2018YFB1502800）
Science and Technology Project of State Grid Hebei Electric Power Company "Research and application of medium and long-term forecasting technology for regional wind and photovoltaic resources and generation capacity" (5204BB170007) （5204BB170007）
Special Fund Project of Hebei Provincial Government (19214310D). （19214310D）
