Abstract: Nowadays, drinking water demand forecasting has become fundamental to efficiently manage water distribution systems. With the growth of accessible data and the increase of available computational power, the scientific ...

Abstract: Water demand continuously increases in urban zones, and water scarcity is frequently associated with a lack or a reduction of water availability at water sources and maintenance problems, such as leakage and pipe aging. ...

Abstract: A reliable short-term forecasting model is fundamental to managing a water distribution system properly. This study addresses the problem of the efficient development of a deep neural network model for short-term forecasting ...