• DocumentCode
    1595972
  • Title

    Electric Power Load Forecasting Based on Fuzzy Optimal Theory

  • Author

    Wang Biao ; Feng Gang ; Huang Jing ; Xiao Xian-Yong

  • Author_Institution
    Sichuan Electr. Power Res. Inst., Chengdu, China
  • fYear
    2012
  • Firstpage
    821
  • Lastpage
    824
  • Abstract
    The paper proposes a new forecasting method for mid-long term electric power load based on the fuzzy optimal theory. The proposed model considering various kinds of error information overcomes the shortcoming of single model as well as the traditional combined model whose objective is to improve just one error index. Through the case study, we prove that the accuracy can be improved obviously and the model is a new and effective method for mid-long term electric load forecasting.
  • Keywords
    error analysis; fuzzy set theory; load forecasting; error index; error information; fuzzy optimal theory; mid-long term electric power load forecasting method; Fitting; Forecasting; Indexes; Load forecasting; Load modeling; Predictive models; combined forecasting; fuzzy optimum theory; muti-error index system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.509
  • Filename
    6173332