This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

Nowadays, real-time monitoring of smart water networks is essentially performed by
Supervisory Control and Data Acquisition (SCADA) systems and through the use of sensors …

Optimizing the arrangement of pressure sensors in water distribution networks (WDNs) is
crucial for system efficiency, enabling accurate monitoring and effective control, especially in …

This paper presents a pressure management technique for the reduction of leaks
considering as a case study a branched water distribution system. The proposed technique …

Urban water distribution networks (WDNs) have wide range and intricate topology, which
include leakage, pipe burst and other abnormal states during production and operation. With …

This article presents a leak localization methodology based on state estimation and
learning. The first is handled by an interpolation scheme, whereas dictionary learning (DL) is …

In this paper, we present a nodal hydraulic head estimation methodology for water
distribution networks (WDN) based on an Unscented Kalman Filter (UKF) scheme with …

Leakage in water systems results in significant daily water losses, degrading service quality,
increasing costs, and aggravating environmental problems. Most leak localization methods …

Graph-based state interpolation (GSI) is a state-of-the-art state reconstruction technique that
operates over water distribution networks (WDN). This method retrieves the complete …

Here, we want to place the sensors in such a way that the highest level of value in the
network is achieved. In other words, maximizing the level of network observability is …