Accurate prediction of municipal water demand is critically important to water utilities in fast-
growing urban regions for drinking water system planning, design, and water utility asset …

This paper assesses global water stress at a finer temporal scale compared to conventional
assessments. To calculate time series of global water stress at a monthly time scale, global …

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 …

Human water withdrawal has increasingly altered the global water cycle in past decades, yet
our understanding of its driving forces and patterns is limited. Reported historical estimates …

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 …

Accurate prediction of short-term water demand plays an important role for water suppliers
as well as for government's water plan. This paper aims to predict a municipal water demand …

Water demand prediction is essential in any short or long-term management plans. For short-
term prediction of water demand, climatic factors play an important role since they have …

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 study presents a new approach—preprocessing for reaching the stationary chain in
time series—to unravel the interpolating problem of artificial neural networks (ANN) for long …

Abstract Various Artificial Neural Network techniques such as Generalized Regression
Neural Networks (GRNN), Feed Forward Neural Networks (FFNN) and Radial Basis Neural …