Wind Power Prediction Based on ARMA-BP Neural Network Model

Wind is a type of renewable energy without pollution and with big and wide developing prospect. It is the first strategic choice for energy development in various countries. Based on time series prediction model and the advantage of ARMA BP neural network model, this paper builds ARMA-BP neural network mixed model for wind power prediction. The statistical category value is obtained by using the structure of the neural network model and used to revise time series prediction model to improve the prediction precision and efficiency of the wind power.