Water consumption

Hybrid machine learning models applied to daily urban water consumption prediction

This study proposes hybrid machine learning (ML) models to predict the daily urban water consumption scenario in a neighborhood Brazilian city. The framework evaluates various signal decomposition modes, including empirical wavelet transform (EWT), …

Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting

Water consumption forecasting is essential for the development of efficient city planning. Due to the non-linearities and relations of the water consumption with different factors the development of an accurate forecasting system is challenging. This …