• DocumentCode
    2546203
  • Title

    Forecasting Study on the Power of Jiangsu Province by GM(1,1) Model Based on Quadratic Interpolation

  • Author

    Huang, Yun-Qin

  • Author_Institution
    Feidong Power Supply Co., Hefei, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Jiangsu province, the eastern coastal province with rapid economic development and high demand for electricity, power prediction seems very important. In this paper, we start from the current situation of electric power needs in Jiangsu province, a large number of historical data in Jiangsu province are taken as analytical basis, and gray model is used to forecast electricity consumption in Jiangsu province. Quadratic interpolation is used to reconstruct the background value, whereas least square method is conduct to improve the initial value in the forecasting formula. Finally, the improved methods are used to make a short-term forecast.
  • Keywords
    grey systems; interpolation; least squares approximations; load forecasting; power consumption; GM(1,1) model; Jiangsu Province; electricity consumption forecasting; gray model; least square method; power forecasting study; power prediction; quadratic interpolation; short-term forecasting; Accuracy; Biological system modeling; Data models; Electricity; Industries; Mathematical model; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5600179
  • Filename
    5600179