Water Demand Prediction of Grey Markov Model Based on GM(1,1)
Hang Li, Chi Zhang, Dong Miao, Tong Wang, Yang Feng, Hao Fu, Chunsheng Zhang, Ming Zhao
Available Online April 2016.
- https://doi.org/10.2991/icmit-16.2016.95How to use a DOI?
- Grey Model; Markov Model; Water Demand Prediction; Software MATLAB
- 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.
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 -