Research on Short Term Prediction of Wind Power Generation Based on LSTM Neural Network
Compared with traditional wind power short-term prediction methods,the LSTM neural network-based wind power short-term prediction method is closer to the measured values of wind power generation.The article first collects the required wind power generation data,and then preprocesses the collected wind power generation data to improve data availability.After obtaining higher quality wind power generation data,an LSTM short-term prediction model is constructed for short-term prediction of wind power generation.Finally,based on the LSTM short-term prediction model,generate relevant prediction results,complete the research on short-term wind power generation prediction based on LSTM neural network,and then conduct short-term wind power generation prediction experiments based on LSTM neural network.The experimental results show that the short-term prediction accuracy of wind power generation based on LSTM neural network is high.
LSTM neural networkpower generation predictionwind power generation capacityshort term prediction
NETL
NSTL
万方数据
