• DocumentCode
    2938888
  • Title

    Mid-Long Term Load Forecasting Based on Fuzzy Optimal Theory

  • Author

    Huang Jing ; Ma Jing ; Xiao Xian-Yong ; Xu Mei

  • Author_Institution
    Coll. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper proposed a new method for mid-long term load combined forecasting 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 prediction accuracy can be improved obviously and the model is a new and effective method for mid-long term electric load forecasting.
  • Keywords
    entropy; fuzzy set theory; load forecasting; entropy; fuzzy optimal theory; midlong term load forecasting; mutierror index system; Entropy; Forecasting; Indexes; Load forecasting; Load modeling; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748986
  • Filename
    5748986