Wind Speed Forecast Based on Improved Elman Neural Network
Wind speed forecast is of significance for the operation of grid-connected wind power generation systems. In order to improve the forecast precision, a method based on improved Elman neural network is proposed, where back propagation method is used to confirm the value of Feedback gains/. The forecast model is established by using im- proved Elman neural network and BP neural network respectively, and applied to simulate and forecast the real histor- ical wind speed data. The actual data of wind plant has verified the simulation results.
NETL
NSTL
万方数据
维普
