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

DOI

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.

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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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  - Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology
PB  - Atlantis Press
SP  - 524
EP  - 529
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmit-16.2016.95
DO  - 10.2991/icmit-16.2016.95
ID  - Li2016/04
ER  -