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
Link To Document :
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