Developing an LSTM model to forecast the monthly water consumption according to the effects of the climatic factors in Yazd, Iran

A Critical Review of Short-Term Water Demand Forecasting Tools—What Method Should I Use?

(2022) Azar Niknam et al.   Sustainability

Application of LSTM Networks for Water Demand Prediction in Optimal Pump Control

(2021) Christian Kühnert et al.   Water

Deep learning with long short-term memory neural networks combining wavelet transform and principal component analysis for daily urban water demand forecasting

(2021) Baigang Du et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-term forecasting of monthly water consumption in hyper-arid climate using recurrent neural networks

(2021) Abdullah A. Alsumaiei et al.   Journal of Engineering Research

Smart meters data for modeling and forecasting water demand at the user-level

(2020) Jorge E. Pesantez et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A review on the long short-term memory model

(2020) Greg Van Houdt et al.   ARTIFICIAL INTELLIGENCE REVIEW

Forecasting water demand across a rapidly urbanizing region

(2020) Georgina M. Sanchez et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessment of Future Water Demand and Supply under IPCC Climate Change and Socio-Economic Scenarios, Using a Combination of Models in Ourika Watershed, High Atlas, Morocco

(2020) Houssam Ayt Ougougdal et al.   Water

Hybrid Models for Water Demand Forecasting

(2020) Prerna Pandey et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Water demand forecasting by trend and harmonic analysis

(2018) Edward Kozłowski et al.   Archives of Civil and Mechanical Engineering

Optimisation of water demand forecasting by artificial intelligence with short data sets

(2018) Rafael González Perea et al.   BIOSYSTEMS ENGINEERING

A robust possibilistic programming model for water allocation problem

(2018) Mohamadreza Fazli-Khalaf et al.   RAIRO-OPERATIONS RESEARCH

Correlation Analysis of Water Demand and Predictive Variables for Short-Term Forecasting Models

(2017) B. M. Brentan et al.   MATHEMATICAL PROBLEMS IN ENGINEERING