• DocumentCode
    3391020
  • Title

    Application of grey regression model in power load forecasting

  • Author

    Bingyun, Zheng ; Malin, Song

  • Author_Institution
    Sch. of Inf. Eng., Anhui Univ. of Finance & Econ., Bengbu, China
  • Volume
    3
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    366
  • Lastpage
    369
  • Abstract
    Based on the GM(1, 1) theory, this paper studies the deficiency in power load forecasting. combining the regression model, the paper proprose a new method to forecast the power load. In this paper, the grey model GM(1, 1) is hybridized into the regression model. This results in grey regression model, which is explained detailedly in succession. Based on an example, the basic grey model and grey regression model are used to forecast power load and results of both models are analyzed and compared. The calculation results show that grey regression theory is credible and accurate to forecast power load.
  • Keywords
    load forecasting; regression analysis; grey regression model; power load forecasting; Demand forecasting; Economic forecasting; Finance; Integrated circuit modeling; Intelligent transportation systems; Load forecasting; Load modeling; Mathematical model; Power system economics; Predictive models; Forecasting; Grey regression Model; Power Load;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-4544-8
  • Type

    conf

  • DOI
    10.1109/PEITS.2009.5406882
  • Filename
    5406882