Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Prediction and Influencing Factors Analysis of Natural Gas Consumption in China Based on SPSS

Authors
Guang-jing He, Rong-ge Xiao, Shuai Liang
Corresponding Author
Guang-jing He
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.16How to use a DOI?
Keywords
natural gas consumption; factor analysis; linear regression; prediction; SPSS
Abstract
Natural gas is the third largest energy pillar in the world, the best energy that all countries are scrambling to develop. Five main influencing factors of natural gas consumption are analyzed by collecting relevant information, including GDP, the gross industrial output value, the increased value of the third industrial production, the urban population, and the proportion of natural gas in primary energy. Then based on data from 2001 to 2011, factor analysis is taken by using the SPSS software. Then a linear regression model is obtained to predict the natural gas consumption. At last, the natural gas consumption in 2011-2013 is predicted by the proposed model, and the result is analyzed which shows that the model based on SPSS is reasonable and efficient.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.16How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guang-jing He
AU  - Rong-ge Xiao
AU  - Shuai Liang
PY  - 2015/04
DA  - 2015/04
TI  - Prediction and Influencing Factors Analysis of Natural Gas Consumption in China Based on SPSS
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 86
EP  - 90
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.16
DO  - https://doi.org/10.2991/amcce-15.2015.16
ID  - He2015/04
ER  -