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

Research on the Effective Supply Strategy of Natural Gas based on Factor Analysis Method

Authors
Guang-jing He, Rong-ge Xiao, Yu-heng Zhang
Corresponding Author
Guang-jing He
Available Online April 2015.
DOI
10.2991/amcce-15.2015.15How to use a DOI?
Keywords
natural gas; effective supply; factor analysis method
Abstract

As China's economic growth and social development, energy demand is increasing. As an efficient and clean energy, natural gas is widely used in various fields such as industry and agriculture. However, the contradiction between demand increase of natural gas and limited resources has become increasingly intensified, which restricts China's economic development. So it is important to improve the effective supply. The paper firstly summarizes the factors affecting effective supply of natural gas; secondly, gets the combined effect factors by using factor analysis method of SPSS and analyzes the importance of each factor; finally, based on the estimation of effective supply of natural gas, the effective suggestions are proposed.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/amcce-15.2015.15
ISSN
1951-6851
DOI
10.2991/amcce-15.2015.15How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Guang-jing He
AU  - Rong-ge Xiao
AU  - Yu-heng Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Research on the Effective Supply Strategy of Natural Gas based on Factor Analysis Method
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 80
EP  - 85
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.15
DO  - 10.2991/amcce-15.2015.15
ID  - He2015/04
ER  -