• DocumentCode
    3074897
  • Title

    Prediction of Energy Consumption in Jiangsu Based on Combination Model

  • Author

    Chen, Jibo ; Huang, Xiaorong ; Li, Jie ; Wang, Guizhi

  • Author_Institution
    Coll. of Math. & Phys., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • Volume
    4
  • fYear
    2010
  • fDate
    4-6 June 2010
  • Firstpage
    109
  • Lastpage
    112
  • Abstract
    This paper first analyzes the construction and trend of the energy consumption in Jiangsu. And then a non-linear forecasting model and an ARMIMA model are established based on energy consumption data from 1985 to 2007. The two methods are connected to build a combination forecasting model. Finally the prediction results of the new model of future energy consumption are analyzed. The combination model shows a high credibility in prediction.
  • Keywords
    autoregressive moving average processes; energy consumption; ARMIMA model; Jiangsu; combination forecasting model; energy consumption prediction; nonlinear forecasting model; Demand forecasting; Economic forecasting; Educational institutions; Energy consumption; Load forecasting; Mathematical model; Mathematics; Physics computing; Predictive models; Synthetic aperture sonar; ARIMA model; combination forecasting; energy consumption; non-linear forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing (ICIC), 2010 Third International Conference on
  • Conference_Location
    Wuxi, Jiang Su
  • Print_ISBN
    978-1-4244-7081-5
  • Electronic_ISBN
    978-1-4244-7082-2
  • Type

    conf

  • DOI
    10.1109/ICIC.2010.298
  • Filename
    5514030