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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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【Citations】
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【Co-citations】
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1 GAN Xin-hua1,SHI Yong1,LIN Bao-guo1,2(1.School of Resources and Environmental Engineering,Hefei University of Technology,Hefei 230009,China;2.Anhui Lvhua Environment Science and Technology Development Co.,Ltd.,Hefei 230061,China);Application of BP Neural Network Based on MATLAB Toolbox to the Evaluation of Atmosphere Environmental Quality[J];Anhui Chemical Industry;2008-05
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5 Wang Qihong (Changzhou College of Information Technology, Changzhou 213164, Jiangsu province,China);Emitter Identification Based on Fuzzy RBF Neural Network[J];Marine Electric & Electronic Engineering;2007-05
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