Proceedings of the 2015 International Conference on Computational Science and Engineering

Prediction of Energy Consumption and Structure in Hebei Province Based on GM (1,1) Model

Authors
Cong Zhao, Lin Jiao
Corresponding Author
Cong Zhao
Available Online July 2015.
DOI
10.2991/iccse-15.2015.7How to use a DOI?
Keywords
Energy consumption; Energy structure; GM(1,1); Prediction
Abstract

With the rapid development of economy, energy demand is increasing in Hebei. Therefore, prediction of energy consumption and structure in Hebei province has importance of actual meaning significance. In this paper, total energy, coal, oil and natural gas consumption data are selected in Hebei province between 2001 and 2013. First, energy consumption and structure in Hebei province are analyzed. Second, GM 1,1 forecast model is established. Then, according to the established forecast model, energy consumption and structure between 2014 and 2021 in Hebei province is predicted. Last, related suggestions on energy optimization are put forward. The results are expected to provide important scientific basis for energy utilization and planning in Hebei province.

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 Computational Science and Engineering
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
10.2991/iccse-15.2015.7
ISSN
2352-538X
DOI
10.2991/iccse-15.2015.7How 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  - Cong Zhao
AU  - Lin Jiao
PY  - 2015/07
DA  - 2015/07
TI  - Prediction of Energy Consumption and Structure in Hebei Province Based on GM (1,1) Model
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 34
EP  - 37
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.7
DO  - 10.2991/iccse-15.2015.7
ID  - Zhao2015/07
ER  -