Proceedings of the 2016 International Conference on Management Science and Management Innovation

Research on Energy Demand Forecast in Baoding City

Authors
Yan-Hui Wang
Corresponding Author
Yan-Hui Wang
Available Online August 2016.
DOI
10.2991/msmi-16.2016.78How to use a DOI?
Keywords
integrated development; energy demand; grey relational analysis; forecast
Abstract

With the accelerated pace of integrated development of Beijing, Tianjin and Hebei Province, Baoding is one of the important regions to undertake the transfer of the capital function. It is necessary to forecast the energy demand of Baoding in the next few years. The thesis uses grey relational analysis and analogy method to forecast total power demand. Firstly, the paper calculates the relational degree of Baoding and related cities respectively, then chooses some reference cities. The total energy demand is determined by means of weighted average calculation. Finally, according to Baoding Energy Development Planning, coal, oil, natural gas and other energy demand are forecasted.

Copyright
© 2016, 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 2016 International Conference on Management Science and Management Innovation
Series
Advances in Economics, Business and Management Research
Publication Date
August 2016
ISBN
978-94-6252-236-7
ISSN
2352-5428
DOI
10.2991/msmi-16.2016.78How to use a DOI?
Copyright
© 2016, 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  - Yan-Hui Wang
PY  - 2016/08
DA  - 2016/08
TI  - Research on Energy Demand Forecast in Baoding City
BT  - Proceedings of the 2016 International Conference on Management Science and Management Innovation
PB  - Atlantis Press
SP  - 334
EP  - 337
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-16.2016.78
DO  - 10.2991/msmi-16.2016.78
ID  - Wang2016/08
ER  -