Short-term Load Forecasting Based on FCM and Complex Gaussian Wavelet SVM

Complex Gaussian wavelet support vector machine (CGW-SVM) is constructed with complex Gaussian wavelet kernel function for short-term load forecasting (STLF). Based on the chaotic characteristics of short-term load time series, the series is reconstructed with phase space reconstruction theory (PSRT). Then the vector of phase space is used as the input of CGW-SVM. Considering the periodical feature of power loads, the fuzzy c-means (FCM) clustering algorithm is introduced to reduce sample data. The experiments show that, by applying the proposed method, the accuracy of load forecasting results is improved and the forecasting process is speeded up