Power Prediction Method of Wind Power Based on LSTM
Wind power generation is an important part of China's energy supply system,especially in the wind-solar complementary lighting system plays a vital role.In order to improve the stability of wind power,a wind power prediction model based on LSTM(Long Short-Term Memory)was constructed.Firstly,the wind power data was preprocessed;then,a LSTM prediction model based on gate control mechanism was established,which can capture the time series characteristics and long-term dependence in wind power data,so as to realize the prediction of wind power;finally,an example was given to show that the LSTM prediction model has better accuracy and stability in wind power prediction.
NETL
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万方数据
