• DocumentCode
    3361596
  • Title

    Short-term Load Forecasting in Power System Based on Wavelet Coefficients and BP Neural Network

  • Author

    Song, Renjie ; Bian, Yixin

  • Author_Institution
    Sch. of Inf. Eng., Northeast Dianli Univ., Jilin
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel method of short-term load forecasting based on wavelet coefficients and BP neural network is proposed in this paper. The method of forecasting of load sequences has been replaced by the method of forecasting of wavelet coefficients. The wavelet coefficients on different scales are forecasted by BP neural networks respectively after wavelet detail 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.
  • Keywords
    backpropagation; load forecasting; neural nets; power engineering computing; wavelet transforms; BP neural network; power system; short-term load forecasting; wavelet coefficients; Continuous wavelet transforms; Discrete wavelet transforms; Load forecasting; Neural networks; Power systems; Predictive models; Prototypes; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918868
  • Filename
    4918868