• DocumentCode
    2043245
  • Title

    Research on Mid-long Term Load Forecasting Base on Wavelet Neural Network

  • Author

    Zhang, Qian ; Liu, Tongna

  • Author_Institution
    Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    217
  • Lastpage
    220
  • Abstract
    This paper put forward a new method of the wavelet neural network model for mid-long term load forecasting. The neural call function is basis of nonlinear wavelets. We overcome the shortcoming of single train set of ANN. It can be seen from the example this method can improve effectively the forecast accuracy and speed. The forecast model was tested and the result showed that it was an effective way to forecast mid-long term electric load.
  • Keywords
    load forecasting; neural nets; power engineering computing; wavelet transforms; Wavelet neural network; mid-long term load forecasting; neural call function; nonlinear wavelets; Artificial neural networks; Load forecasting; Neural networks; Power engineering and energy; Predictive models; Risk management; Signal analysis; Support vector machines; Wavelet analysis; Wavelet transforms; Wavelet Neural Network; electric Load Forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.195
  • Filename
    5445592
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2043245