• DocumentCode
    2987859
  • Title

    Application of genetic algorithm to middle-long term optimal combination power load forecast

  • Author

    Bike Xue ; Jian Geng ; Yaxian Zheng ; Jun Li

  • Author_Institution
    China Electr. Power Res. Inst., Nanjing, China
  • fYear
    2013
  • fDate
    22-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To improve the precision of middle and long-term power load forecast, combined forecasting method has been introduced in this Paper. The advantages of several forecasting methods can he integrated in the model to get more exact results.But because of the characteristic of the optimal combination model, it can not be solved directly by LP algorithm. The genetic algorithm has been used to get the combination weights,and the satisfactory results have been obtained. To validate the effect of the method, the 12 months load of the year 2012 for one area have been forecasted.
  • Keywords
    genetic algorithms; load forecasting; power markets; combined forecasting method; genetic algorithm; middle long term optimal combination power load forecast; optimal combination model; Genetic algorithms; Load forecasting; Load modeling; Predictive models; Sociology; Statistics; genetic algorithm; middle and long term load forecast; optimal combination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
  • Conference_Location
    Xi´an
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-2825-5
  • Type

    conf

  • DOI
    10.1109/TENCON.2013.6719074
  • Filename
    6719074