With the rapid increase in the volume of data on the aquatic environment, machine learning
has become an important tool for data analysis, classification, and prediction. Unlike …

Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

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 …

Water is an important resource for life and its existence. Water demand is increasing with
increasing economic growth and population, while the water availability is continually …

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 …

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 …

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‐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 …

Short-term water demand forecasting provides guidance on real-time water allocation in the
water supply network, which help water utilities reduce energy cost and avoid potential …

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 …