Household energy consumption in China: Forecasting with BVAR model up to 2015

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13 Scopus citations

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 overfitting 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.

Original languageEnglish
Title of host publicationProceedings of the 2012 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012
Pages654-659
Number of pages6
DOIs
StatePublished - 2012
Event2012 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012 - Harbin, Heilongjiang, China
Duration: 23 Jun 201226 Jun 2012

Publication series

NameProceedings of the 2012 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012

Conference

Conference2012 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012
Country/TerritoryChina
CityHarbin, Heilongjiang
Period23/06/1226/06/12

Keywords

  • ARIMA
  • BVAR
  • Household energy consumption (HEC)

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