To promote intelligent water services and accelerate the water industry's modernization
process, accurately predicting regional residents' water demand and reducing energy …

Sustainable and effective management of urban water supply is a key challenge for the well-
being and security of current society. Urban water supply systems have to deal with a huge …

Short-term water demand forecasting is crucial for constructing intelligent water supply
system. Plenty of useful models have been built to address this issue. However, there are …

Accurate prediction of water demand in a city is crucial for the management of urban water
distribution system. The current study aims to create adequate daily water demand …

Short-term water demand forecasting (StWDF) is the foundation stone in the derivation of an
optimal plan for controlling water supply systems. Deep learning (DL) approaches provide …

Forecasting short-term water demands is one of the most critical needs of operating
companies of urban water distribution networks. Water demands have a time series nature …

A reliable and accurate urban water demand forecasting plays a significant role in building
intelligent water supplying system and smart city. Due to the high frequency noise and …

Traditional methods often fall short in modeling the nonlinear, seasonally variable nature of
urban water demand. This proposed solution is an integrated ARIMA-LSTM deep learning …

Water demand predictions forms an integral part of sustainable management practices for
water supply systems. Demand prediction models aides in water system maintenance …

Accurate water demand forecasting can help understand water usage dynamics, which has
a potential application in water saving and demand management. Despite extensive …