A predictive validity analysis of water demand forecasting model in the UAE

2022 ◽  
pp. 70-82
Author(s):  
Vian Ahmed ◽  
Sara Saboor ◽  
Ahmad Saad ◽  
Hasan Saleh ◽  
Nikita Kasianov ◽  
...  
Keyword(s):  
Predictive Validity ◽  
Water Demand ◽  
Demand Forecasting ◽  
Forecasting Model ◽  
Validity Analysis ◽  
Water Demand Forecasting ◽  
Demand Forecasting Model

scholarly journals A Probabilistic Short-Term Water Demand Forecasting Model Based on the Markov Chain

Water ◽  
2017 ◽  
Vol 9 (7) ◽  
pp. 507 ◽  
Author(s):  
Francesca Gagliardi ◽  
Stefano Alvisi ◽  
Zoran Kapelan ◽  
Marco Franchini
Keyword(s):  
Markov Chain ◽  
Water Demand ◽  
Demand Forecasting ◽  
Forecasting Model ◽  
Short Term ◽  
Water Demand Forecasting ◽  
Model Based ◽  
Demand Forecasting Model

Research on Industrial Water Demand Forecasting Model and its Application in China

2014 ◽  
Vol 675-677 ◽  
pp. 976-981 ◽  
Author(s):  
Qing Rong Zou ◽  
Xiu Li Liu
Keyword(s):  
Water Demand ◽  
Demand Forecasting ◽  
Value Added ◽  
Forecasting Model ◽  
Water Supply Systems ◽  
Industrial Water ◽  
Correlation Relationship ◽  
Water Demand Forecasting ◽  
Demand Forecasting Model ◽  
Industrial Water Demand

Industrial water demand forecasting is needed for the effective planning and management of water supply systems. The paper first made impacting factor analysis of industrial water demand. Data analysis showed that there was a converse “U” type relationship between industrial water demand and industrial value added. There was a negative correlation relationship between industrial water demand and the recycling rate of it. With multiple regression method, industrial water demand forecasting model was established. In the supposed scenarios, we applied the model to predict Chinese industrial water demand in 2014 and 2015.The results were 141.04 billion m3 in 2014 and 137.79billion m3 in 2015.

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