A hybrid model for short-term wind speed forecasting based on wavelet and Support Vector Machine

Accurate wind speed/power forecasts are necessary for the safety and economy of the renewable energy utilization. The wind speed forecasts can be obtained by statistical model based on historical data. In this paper, a new hybrid model is proposed based on the wavelet method and Support Vector Machine (SVM) method. The new w-SVM model is applied to obtain several-hours-ahead wind speed. The simulation results indicate that the w-SVM model has a better performance in forecasting accuracy comparing to the SVM model and other classical time series model.