• DocumentCode
    2498808
  • Title

    A Fuzzy Rules and Wavelet Neural Network Method for Mid-long-term Electric Load Forecasting

  • Author

    Zhan, Qian ; Liu, Tongna

  • Author_Institution
    Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
  • fYear
    2010
  • fDate
    23-25 April 2010
  • Firstpage
    442
  • Lastpage
    446
  • Abstract
    This paper put forward a new method of the fuzzy rules 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 fuzzy rules. 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
    fuzzy set theory; load forecasting; power engineering computing; wavelet transforms; electric load forecasting; fuzzy rules; neural call function; nonlinear wavelets; wavelet neural network method; Fuzzy logic; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Load forecasting; Neural networks; Power system modeling; Predictive models; Takagi-Sugeno model; electric Load Forecasting; fuzzy rule;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Network Technology (ICCNT), 2010 Second International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-0-7695-4042-9
  • Electronic_ISBN
    978-1-4244-6962-8
  • Type

    conf

  • DOI
    10.1109/ICCNT.2010.106
  • Filename
    5474460