Accurate water level prediction for both lake and river is essential for flood warning and
freshwater resource management. In this study, three machine learning algorithms: multi …

Short‐term forecasting of water demand is a crucial process for managing efficiently water
supply systems. This paper proposes to develop a novel graph convolutional recurrent …

Recently, the number of machine learning based water demand forecasting solutions has
been significantly increasing. Different case studies have already reported practical results …

It is crucial to forecast the water demand accurately for supplying water efficiently and stably
in a water supply system. In particular, accurately forecasting short-term water demand helps …

Urban Water Demand Forecasting and Demand Management-Research Needs Review and
Recommendations This study undertook a preliminary investigation of current research into …

Water demand forecasting is a crucial task in the efficient management of the water supply
system. This paper compares classical and adapted machine learning algorithms used for …

This report presents quantitative scenarios of future water use up to 2030 in 30 European
countries (the EU plus 5 EEA member countries). Estimates are also presented for future …

Water efficiency measures and alternative supply sources alleviate peak water demand on
urban water supply networks. Consequently, they also provide benefits to water service …

Long-term projections for key drivers needed in urban water infrastructure planning such as
climate change, population growth, and socio-economic changes are deeply uncertain …

During the coronavirus disease 2019 (COVID-19) pandemic, the daily pattern of activities
changed dramatically for people across the globe, as they socially distanced and worked …