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 …

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 …

Consumption of water varies throughout the day due to the daily routines of the consumer.
This pattern of daily water consumption is called the water demand profile. The initiatives to …

Short-term water demand forecasting has always been a hot research topic in the field of
water distribution systems, and many researchers have developed a wide variety of methods …

Data-driven flow-forecasting models, such as artificial neural networks (ANNs), are
increasingly featured in research for their potential use in operational riverine flood warning …

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 …

Water scarcity is a growing threat to humankind. At university campuses, there is a need for
shared shower room managers to forecast the demand for bath water accurately. Accurate …

A hybrid model based on the mind evolutionary algorithm is proposed to predict hourly water
demand. In the hybrid model, hourly water demand data are first reconstructed to generate …

Forecasting of water demand and equitable allocation of local water resources are used to
reduce and eliminate water shortages and waste. The key emphasis of this research article …

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 …