Water demand forecasting is an essential task for water utilities, with increasing importance
due to future societal and environmental changes. This paper suggests a new methodology …

Understanding, comparing, and accurately predicting water demand at different spatial
scales is an important goal that will allow effective targeting of the appropriate operational …

This study utilizes a rich UK data set of smart demand metering data, household
characteristics, and weather data to develop a demand forecasting methodology that …

The ability to predict water consumption benefits in terms of future temporal water patterns,
operational reasons in distribution and decision making related to the development of water …

Machine learning (ML) is a subfield of artificial intelligence (AI), where algorithms are
learning patterns from data, rather than being rigidly programmed (Radakovich et al., 2020) …

Ensuring water supply-demand balance has become increasingly vital for supply companies
due to climate change, demographic shifts and unforeseen future changes. Specifically …

Water utilities in the UK collect vast amounts of water quality data during their monitoring
programs to assure that the final product that they deliver to consumers is of a high quality …