Accurate and up-to-date peak demand data are essential to ensure that future mains water
supply networks reflect current usage patterns and are designed efficiently from an …

This study explores the ability of various machine learning methods to improve the accuracy
of urban water demand forecasting for the city of Montreal (Canada). Artificial Neural …

Accurate and reliable forecasting of reservoir inflow is necessary for efficient and effective
water resources planning and management. The aim of this study is to develop an ensemble …

Forecasting urban water demand can be of use in the management of water utilities. For
example, activities such as water-budgeting, operation and maintenance of pumps, wells …

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 …

Accurate and reliable forecasting plays a key role in the planning and designing of
municipal water supply infrastructures. Recent studies related to water demand prediction …

Accurate and reliable weekly and monthly water demand forecasting is important for
effective and sustainable planning and use of urban water supply infrastructure. This study …

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 …

The input variable selection problem has recently garnered much interest in the time series
modeling community, especially within water resources applications, demonstrating that …

Leveraging the potential flexibility of large electrical loads has become an attractive option
for maintaining grid reliability, especially in electric grids with high penetrations of variable …