There is an increasing demand to enhance infrastructure asset management within the
drinking water sector. A key factor for achieving this is improving the accuracy of pipe failure …

An extensive review of research advances in distribution system management was
conducted to include methods, tools, and frameworks for integration. Sources included …

Pipe failure prediction models are essential for informing proactive management decisions.
This study aims to establish a reliable prediction model returning the probability of pipe …

Effective functioning of water systems is critical to ensure the quality of human life. Therefore,
failure prediction of water mains under climatic variations is necessary to avoid socio …

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 …

As district heating networks age, current asset management practices, such as those relying
on static life expectancies and age-and rule-based approaches, need to be replaced by data …

This paper presents a new methodology for addressing imbalanced class data for failure
prediction in Water Distribution Networks (WDNs). The proposed methodology relies on …

Water distribution networks (WDNs) are essential infrastructure systems, providing vital
drinking and process water for urban health and economic vitality. The unfolding choices of …

Water utilities are affected by various social, environmental, and technological factors and
are increasingly required to enhance their infrastructure and long-term efficiency …

The sustainable management of the water supply system requires methodologies to monitor,
repair, or replace the aging infrastructure, but more importantly, it must be able to assess the …