Power Load Intelligent Prediction based on Wavelet Decomposition
WANG Yuan;School of Electronic and Information Engineering, North China Institute of Science & Technology;
Accurate prediction of power load can improve the economic and social benefit of power system, which is beneficial to re-duce the cost of power generation. Power load forecasting has become an important content of power system management and smartgrid development. In this paper, a wavelet decomposition method and BP network are used to predict the short-term power load andcompare with the traditional BP network prediction. The simulation results show that the method is more accurate than the tradition-al BP network prediction.
【CateGory Index】： TP183;TM715