• DocumentCode
    3307748
  • Title

    Research on Mid-long Load Forecasting Based on SVM and Wavelet Neural Network

  • Author

    Zhang, Qian

  • Author_Institution
    Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    283
  • Lastpage
    287
  • Abstract
    This paper put forward a new method of the SVM and 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 SVM. 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
    Artificial neural networks; Estimation error; Load forecasting; Machine vision; Man machine systems; Neural networks; Power generation economics; Predictive models; Risk management; Support vector machines; SVM; electric Load Forecasting; fuzzy rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
  • Conference_Location
    Kaifeng, China
  • Print_ISBN
    978-1-4244-6595-8
  • Electronic_ISBN
    978-1-4244-6596-5
  • Type

    conf

  • DOI
    10.1109/MVHI.2010.154
  • Filename
    5532733