scholarly journals Water Demand Prediction Model Used for General PUrpose : Referring to the Thailand Gravity Irrigation District (5)

10.5109/4699 ◽  
2005 ◽  
Vol 50 (2) ◽  
pp. 909-916
Author(s):  
Tetsuro Fukuda
Keyword(s):  
Prediction Model ◽  
Water Demand ◽  
General Purpose ◽  
Irrigation District ◽  
Demand Prediction ◽  
Water Demand Prediction

Research on Urban Water Demand Prediction

2012 ◽  
Vol 594-597 ◽  
pp. 2037-2040
Author(s):  
Kun Yang Wan
Keyword(s):  
Prediction Model ◽  
Bp Neural Network ◽  
Water Demand ◽  
Prediction Method ◽  
Urban Water ◽  
Sequence Prediction ◽  
Demand Prediction ◽  
Neural Network Prediction ◽  
Network Prediction ◽  
Water Demand Prediction

Water demand prediction adopts combined prediction method based on BP neural network prediction model, grey G (1,1) prediction model, time sequence prediction model (second multinomial exponential smoothing model) and single linear regression model (Cubics Ratio model). Empirical results show that combined prediction method makes comprehensive use of information of every separate prediction model, and thus enhances prediction accuracy.

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