• DocumentCode
    2741124
  • Title

    The Simulation Modeling About The Developments of GDP, Population and Primary Energy Consumption in China Based on MATLAB

  • Author

    Li, Guo-Dong ; Yamaguchi, Daisuke ; Lin, Hui-Shan ; Nagai, Masatake

  • Author_Institution
    Graduate Sch. of Sci. & Eng., Teikyo Univ., Utsunomiya
  • fYear
    2006
  • fDate
    7-9 June 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we proposed a new grey model (GM) to realize the predictions and analyses of GDP structure, population structure and primary energy consumption structure from year 2004 to 2010 based on the data from 1995 to 2003. The improved GM is obtained by the following procedure: first, statistical method of linear regression is integrated into GM to enhance prediction capability. Second, residual error modification with Markov-chain sign estimation further improve the accuracy. By the above procedure, proposed GM is expected to have better prediction performance. We discussed the development relationship between GDP structure, population structure and energy consumption structure in the future. Furthermore, the experiment is realized based on Matlab and we showed the results of Matlab simulation modeling
  • Keywords
    Markov processes; demography; digital simulation; economic indicators; energy consumption; estimation theory; grey systems; mathematics computing; regression analysis; China; GDP structure; Markov-chain sign estimation; Matlab simulation modeling; grey model; linear regression; population structure; primary energy consumption structure; residual error modification; statistical method; Biomedical engineering; Data engineering; Economic indicators; Energy consumption; History; MATLAB; Mathematical model; Power engineering and energy; Power system modeling; Predictive models; Markov-chain; grey model; grey theory; linear regression; simulation modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2006 IEEE Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    1-4244-0023-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2006.252244
  • Filename
    4017803