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     Research Journal of Applied Sciences, Engineering and Technology


Prediction Models of Energy Consumption Structure of Shandong Province of China

1Jiekun Song and 2Hailing Wang
1School of Economics and Management, China University of Petroleum, Qingdao, 266580, China
2School of Management, University of Science and Technology, Hefei, 230026, China
Research Journal of Applied Sciences, Engineering and Technology  2013  6:2073-2077
http://dx.doi.org/10.19026/rjaset.5.4752  |  © The Author(s) 2013
Received: July 27, 2012  |  Accepted: September 03, 2012  |  Published: February 21, 2013

Abstract

In order to predict the energy consumption structure of Shandong province of China, linear regression model, gray model and ARIMA model are constructed respectively. On the basis of the single predicted results, the optimal weighted combination model is constructed for combination prediction of Shandong province's energy consumption structure. The empirical test shows that combination prediction model can effectively increase the prediction accuracy, providing a new method for the energy consumption structure prediction.

Keywords:

Combination prediction, energy consumption structure, Shandong province, single prediction,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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