Optimization Combination Forecast Method of SVM and WNN for Power Load Forecasting

This paper puts forward a new method of the SVM and wavelet neural network optimization combination model for power load forecasting. It uses fixed weight method of forecasting model, that is, it chooses weight with average precision of each model to build an optimization combination forecasting model. It can be seen from the example that this method can improve effectively the forecast accuracy. The forecast model was tested and the result showed that it was an effective way to forecast power load.