Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology

Water Demand Prediction of Grey Markov Model Based on GM(1,1)

Authors
Hang Li, Chi Zhang, Dong Miao, Tong Wang, Yang Feng, Hao Fu, Chunsheng Zhang, Ming Zhao
Corresponding Author
Hang Li
Available Online April 2016.
DOI
https://doi.org/10.2991/icmit-16.2016.95How to use a DOI?
Keywords
Grey Model; Markov Model; Water Demand Prediction; Software MATLAB
Abstract
When the raw data has greater volatility, alone using GM (1, 1) model can lead to big error of water demand prediction results. For this problem, based on the grey GM (1, 1) model and Markov model theory and combine the two algorithm to constitute a grey Markov model which is reasonable and applied to the domestic water demand forecasting project of water supply area in the JV Company of Tianjin. Results show that in the case of original data volatile grey Markov model overcomes the disadvantages of grey GM (1, 1) model and the insufficiency, improves the prediction precision, and enhances the scientific nature and reliability of results.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 3rd International Conference on Mechatronics and Information Technology
Part of series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-184-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmit-16.2016.95How 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  - Hang Li
AU  - Chi Zhang
AU  - Dong Miao
AU  - Tong Wang
AU  - Yang Feng
AU  - Hao Fu
AU  - Chunsheng Zhang
AU  - Ming Zhao
PY  - 2016/04
DA  - 2016/04
TI  - Water Demand Prediction of Grey Markov Model Based on GM(1,1)
BT  - 2016 3rd International Conference on Mechatronics and Information Technology
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmit-16.2016.95
DO  - https://doi.org/10.2991/icmit-16.2016.95
ID  - Li2016/04
ER  -