Abstract:The wind power is always changing. It is meaningful for the power plants and the power grids to predict the wind power accurately. The basic principles and algorithms of wavelet transform and BP neural network are studied in this paper. A wind power prediction method based on wavelet transform and BP neural network is proposed. This method first uses wavelet transform to decompose the historical power data, then utilizes BP neural network to predict wind power. The simulation results verify the effectiveness of the propsed method in forecasting the wind power.