Short-term water demand forecasting: a review

被引:1
作者
Ghannam, Safa [1 ]
Hussain, Farookh [1 ]
机构
[1] Univ Technol Sydney, Fac Engn & Informat Technol, Ultimo, Australia
来源
AUSTRALASIAN JOURNAL OF WATER RESOURCES | 2024年
关键词
Water demand; residential; review; forecasting; water consumption; short-term; urban; NEURAL-NETWORK; PERFORMANCE; PREDICTION;
D O I
10.1080/13241583.2024.2350102
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Water utilities rely on precise water demand predictions to ensure efficient water management and the dependable functioning of the water supply infrastructure. Accurate forecasting of water demand is crucial for effective water planning and maintaining the reliable operation of the water supply system. However, various water demand forecasting models have been proposed making it challenging to select the most appropriate forecasting model. This research presents a literature review on the relevant studies that address short-term water demand forecasting and the most frequently used methods, tools and techniques in the field of short-term water demand forecasting. Suggestions for future work in water demand forecasting are proposed.
引用
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页数:19
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