• DocumentCode
    2912801
  • Title

    Grey prediction on China’s energy consumption and production

  • Author

    Ma, Hong-Wei ; Ma, Kai-Ping ; Zhang, Dong-Qing

  • Author_Institution
    Nanjing Agric. Univ., Nanjing
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    663
  • Lastpage
    667
  • Abstract
    The rapid economic growth in China results in the fast energy consumption and production. The dynamic GM(1,N) model of grey theory is used to develop the dynamic GM(1, N) model to forecast the final energy consumption and production in China. In order to improve the forecast accuracy, the original GM(1, N) models are improved by using two methodologies of equal dimension replenishment and residual modification. We analyze the data of total consumption and production of energy and its composition from 1996 to 2005 in China, and forecast China´s energy consumption and production by this grey forecasting model, which shows that the improved grey forecasting model is of more reliability and higher forecast accuracy than GM (1, N).The forecast results indicate that China´s final energy consumption and production will increase rapidly in the period of 2006 to 2015.
  • Keywords
    differential equations; economic forecasting; energy consumption; grey systems; macroeconomics; China economic growth; China energy consumption; China energy production; differential equations; equal dimension replenishment; grey forecasting model; grey prediction; grey theory dynamic model; residual modification; Data analysis; Differential equations; Economic forecasting; Energy consumption; Intelligent systems; Load forecasting; Mathematical model; Power generation economics; Predictive models; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443357
  • Filename
    4443357