• DocumentCode
    3064007
  • Title

    Household Energy Consumption in China: Forecasting with BVAR Model Up to 2015

  • Author

    Qing Zhu ; Yujing Guo ; Genfu Feng

  • Author_Institution
    Int. Bus. Sch., Shaanxi Normal Univ., Xi´an, China
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    654
  • Lastpage
    659
  • Abstract
    In this paper, we establish VAR model to study the issue of household energy consumption (HEC) in China with status quo analysis of that from 1980 to 2009. Firstly, based on the previous literature of domestic and foreign, the main factors affecting HEC are derived. Besides, result from testing suggests that consuming capacity, population and structure are the leading power to determine HEC. Further, BVAR model is also introduced into the analytical framework to overcome the exceeding sample-size and over fitting existing in VAR. What\´s more, changes in energy consumption in the period of "the 12th five year plan" are forecasted that way, meanwhile, we do the same work via ARIMA with the historical data information itself. At the end of this analysis, comparison is made between the results from both the BVAR and ARIMA models to justify the reasonableness of BVAR in this paper.
  • Keywords
    electricity supply industry; energy consumption; power system simulation; ARIMA model; BVAR model; China; historical data information; household energy consumption; Analytical models; Economic indicators; Energy consumption; Mathematical model; Predictive models; Reactive power; ARIMA; BVAR; household energy consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.150
  • Filename
    6274811