Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)

The Analysis and Prediction of Water Supply and Demand for Beijing in future

Authors
Jing Han
Corresponding Author
Jing Han
Available Online April 2016.
DOI
10.2991/icemct-16.2016.229How to use a DOI?
Keywords
Water Shortage Gray Correlation Analysis Sequential Combination Forecasting ,Grey Forecasting Polynomial Fitting
Abstract

The paper chooses data of the water resource supply and demand in Beijing in previous years, adopting gray correlation analysis method to analyze three main factors of water. Sequential Combination Forecasting ,Grey Forecasting and polynomial fitting method are respectively used to predict changes of three main factors in the future .Finally, according to the forecast data, the supply and demand situations of water resource and influence of the situations are analyzed.

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 Education, Management and Computing Technology (ICEMCT-16)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2016
ISBN
10.2991/icemct-16.2016.229
ISSN
2352-5398
DOI
10.2991/icemct-16.2016.229How 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  - Jing Han
PY  - 2016/04
DA  - 2016/04
TI  - The Analysis and Prediction of Water Supply and Demand for Beijing in future
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 1050
EP  - 1053
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.229
DO  - 10.2991/icemct-16.2016.229
ID  - Han2016/04
ER  -