Industrial Water Demand Prediction Model by Using Input-Output Table: The Case of Industrial Strategy of Thailand and Impacts from Pricing Policy

2007 ◽  
Author(s):  
Pongsak Suttinon ◽  
Nasu Seigo
Keyword(s):  
Prediction Model ◽  
Water Demand ◽  
Industrial Water ◽  
Input Output ◽  
Pricing Policy ◽  
Output Table ◽  
Demand Prediction ◽  
Water Demand Prediction ◽  
Industrial Water Demand

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.

scholarly journals Economic Determinants of Industrial Water Demand: A Review of the Applied Research Literature

Water ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1684
Author(s):  
Pilar Gracia-de-Rentería ◽  
Ramón Barberán
Keyword(s):  
Water Demand ◽  
Research Literature ◽  
Industrial Water ◽  
Methodological Issues ◽  
Economic Determinants ◽  
Future Studies ◽  
Know How ◽  
Level Of Activity ◽  
Industrial Water Demand ◽  
Available Information

This paper surveys the empirical, economic literature focused on the determinants of industrial water demand. Both the methodological issues and the outcomes of the previous studies are presented and discussed. Attention is given to key methodological issues, such as the available information, the type of data used, the specification of the variables, the choice of the estimated function, its functional form, and the estimation techniques used, highlighting the issues that require greater attention in future studies. Regarding the results, we focus on the estimated elasticities in order to know how the price of water, the level of activity, and the prices of the other inputs influence the demand for water.

Sign in / Sign up

Export Citation Format

Share Document