Abstract: High pressure in water distribution networks may lead to more leakages, bursts, and excessive consumption. Therefore, an effective strategy to improve the reliability of the network is pressure management. Many indices ...

Abstract: Occurrence of high pressure in water distribution networks (WDNs) may generally result in leakage, bursting, and overconsumption. Temporal and spatial variations in pressure values cause dissatisfaction of consumers and ...

Abstract: This paper presents a novel weighted likelihood ensemble approach for predicting pipe failures in water distribution networks (WDNs). The proposed method leverages ensemble modeling, specifically stacking, to enhance ...

Abstract: Leakage in underground water pipes has become critical because of increasing water demand. Many studies have been conducted based on the knowledge of soil–water interaction, but few of them have investigated the internal ...

Abstract: In recent years, machine learning (ML) approaches have been used widely for water pipe condition assessment and failure prediction. These methods require a considerable amount of data from water distribution networks (WDNs). ...