Int. J. of Applied Decision Sciences   »   2017 Vol.10, No.1

 

 

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Title: An analysis of the electricity market and power needs in Shandong using vector autoregression

 

Authors: Songqing Yu; Junhai Ma; Hang Min; Xueli Zhan

 

Addresses:
College of Management and Economics, Tianjin University, 92, Weijin Road, Tianjin, China; The Power company in Linqing City, Shandong Province, LiaoCheng 252600, China
College of Management and Economics, Tianjin University, 92, Weijin Road, Tianjin, China
State Grid Shandong Electric Company, Jinan 250000, China
College of Management and Economics, Tianjin University, 92, Weijin Road, Tianjin, China; School of Economics, Beijing Wuzi University, Beijing 101149, China

 

Abstract: Based on relevant data of economic and social development in Shandong Province, the authors analyse the status of the electricity market and determined four factors which affect the electricity demand: economic development, energy structure, power supply and demand as well as electricity demand structure. This paper analyses the stability of the electricity demand variable by augmented Dickey-Fuller (ADF) test and projection pursuit (PP) test, and analyses DCO-integration of them by Engle-Granger (EG) method and Johansen method. Based on stability and cointegration analysis, this paper emphasised a VAR model to analyse the correlation between electricity demand indicators and four other influencing factors. In the end, this paper suggested that had a certain theoretical and practical significance for Shandong Provincial Electric Power Development.

 

Keywords: electricity demand; stationary test; cointegration test; VAR model; demand forecasting; economic development; energy structure; power supply; power demand; demand structure; Shandong; vector autoregression; China.

 

DOI: 10.1504/IJADS.2017.10002307

 

Int. J. of Applied Decision Sciences, 2017 Vol.10, No.1, pp.69 - 88

 

Available online: 23 Jan 2017

 

 

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