To obtain benefits in the provision of public services, managers of public organizations have
considerably increased the adoption of artificial intelligence (AI) systems. However, research …

Neurocomputing methods have contributed significantly to the advancement of modelling
techniques in surface water hydrology and hydraulics in the last couple of decades, primarily …

The proper management of a municipal water system is essential to sustain cities and
support the water security of societies. Urban water estimating has always been a …

Urban water demand prediction based on climate change is always challenging for water
utilities because of the uncertainty that results from a sudden rise in water demand due to …

Accurate and reliable urban water demand prediction is imperative for providing the basis to
design, operate, and manage water system, especially under the scarcity of the natural …

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 …

This case study uses a long short-term memory (LSTM)–based model to predict short-term
urban water demands for the Hefei City of China. The performance of the LSTM-based …

The challenge for city authorities goes beyond managing growing cities, since as cities
develop, their exposure to climate change effects also increases. In this scenario, urban …

In recent years, scarce water resources became one of the main problems that endanger
human species existence and the advancement of any nation. In this research, smart water …

The balance between water supply and demand requires efficient water supply system
management techniques. This balance is achieved through operational actions, many of …