Forecasting of wind speed based on wavelet analysis and support vector machine

A new forecasting method of wind speed based on wavelet analysis and support vector machine is proposed in this paper. By the method, firstly, the original wind speed sequences are decomposed into coarse components and detail components, and secondly, every wavelet components are separately forecasted with corresponding support vector machine models. Finally, the forecasting results of original wind speed series are achieved by using wavelet reconstruction. The experimental results by simulation prove that this method is capable of improving generalization performance and forecasting precision. The mean absolute percentage error (MAPE) reaches 8.21%.