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《Journal of Northeast Dianli University(Natural Science Edition)》 2008-04
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Short-Term Load Forecasting in Power System Based on Wavelet Coefficients and BP Neural Network

SONG Ren-jie~1 BIAN Yi-xin~1 SUN Shi-rong~2 YAN Miao~3 (1.Information Engineering College of Northeast Dianli University,Jiin City,Jilin Province,132012;3.Electron Information Vocational Technology College,Jinlin City,Jilin Province,132021)  
A new method of short-term load forecasting based on wavelet coefficients and BP neural network is proposed in this paper.The forecasting to wavelet coefficients has replaced the forecasting to load sequence. The wavelet coefficients on different scales are forecasted by BP neural networks respectively after wavelet de- tail coefficients have been dealt with by layer soft threshold.The new method combining wavelet coefficients with BP neural network is introduced in detail in this paper and the example about the method is given as well.
【CateGory Index】: TP183;TM715
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