Research on wind power forecasting method using phase space reconstruction and artificial neural network

In this paper, wind speed and the power generated are predicted using phase space reconstruction and artificial neural network (ANN) method. First of all, data of wind speed is preprocessed with theory of phase space reconstruction to obtain the optimal length of time series for forecasting. And then, RBF artificial neural network is used to forecast the wind speed. Finally, the output power of a wind turbine is forecasted and a relatively effective model is obtained.