• DocumentCode
    541159
  • Title

    A method of collaborative multi-path load forecasting based on maximum entropy principle

  • Author

    Xiao, Jun ; Zhang, Xuan ; He, Lin ; Lin, Li-peng

  • Author_Institution
    Key Lab. of Power Syst. Simulation & Control of Minist. of Educ., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    13-16 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper introduces synergetic theory and proposes multi-path load forecasting automatically coordinated approach based on the maximum entropy principle. Taking the expectation and second order central moment of forecasted results into account and using the maximum entropy principle,this synergetic load forecasting method receives the probability distribution function of the forecasted values and obtains the final high, middle and low forecasting scheme based on the probability theory. Case study has shown the model and method mentioned above can take the affection of the conflicts among different forecasting path into account in forecasting, resulting in higher precision of load forecasting.
  • Keywords
    load forecasting; maximum entropy methods; probability; collaborative multipath load forecasting; maximum entropy principle; probability distribution function; synergetic load forecasting method; Entropy; Equations; Forecasting; Helium; Load modeling; Mathematical model; Predictive models; Collaborative Multi-path; Load Forecasting; Maximum Entropy Principle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2010 China International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4577-0066-8
  • Type

    conf

  • Filename
    5735858