The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …

In this paper, we use a theoretical framework of coupled human and natural systems to
review the methodological advances in urban water demand modeling over the past 3 …

Daily water demand forecasts are an important component of cost‐effective and sustainable
management and optimization of urban water supply systems. In this study, a method based …

The accurate forecast of water demand is challenging for water utilities, specifically when
considering the implications of climate change. As such, this is the first study that focuses on …

Research on climate change impacts and related adaptation to water demand is still very
limited. A review summarising the findings related to climate change impacts on water …

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

Short-time water demand forecasting is essential for optimal control in a water distribution
system (WDS). Current methods (eg, time-series models and conventional artificial neural …

Achieving a thorough understanding of the determinants of household water consumption is
crucial to support demand management strategies. Yet, existing research on household …

For the past several years, Cyprus has been facing an unprecedented water crisis. Four
options that have been considered to help resolve the problem of drought in Cyprus include …

A new hybrid wavelet‐bootstrap‐neural network (WBNN) model is proposed in this study for
short term (1, 3, and 5 day; 1 and 2 week; and 1 and 2 month) urban water demand …