Short-Term Load Forecasting in Power System Based on Empirical Mode Decomposition

This paper proposes a new hybrid model for power system short-term load forecasting.In this model, the Empirical Mode Decomposition(EMD),Support Vector Machine (SVM)and BP Nature Network are com- bined organically based on making use of the characteristic of every method.Based on EMD,the load series is decomposed into different lots of calm series,then according to the feature of decomposed components different SVM models are based on considering the influence of climatic factor,and finally using the BP network to re- construct the forecasted signals of the components,the ultimate forecasting result are obtained.Imitating results show that the proposed forecasting method possesses accuracy.