Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review

A Cominola, M Giuliani, D Piga, A Castelletti… - … Modelling & Software, 2015 - Elsevier
Over the last two decades, water smart metering programs have been launched in a number
of medium to large cities worldwide to nearly continuously monitor water consumption at the …

[HTML][HTML] Leak detection and localization in water distribution networks: Review and perspective

L Romero-Ben, D Alves, J Blesa, G Cembrano… - Annual Reviews in …, 2023 - Elsevier
In this paper, leak detection and localization in water distribution networks will be reviewed.
In particular, the paper presents the evolution of the methods from model-based towards …

High fidelity digital twin-based anomaly detection and localization for smart water grid operation management

ZY Wu, A Chew, X Meng, J Cai, J Pok… - Sustainable Cities and …, 2023 - Elsevier
Abstract Smart Water Grid (SWG) plays a critical role in sustaining cities economic and
social development, but challenges remain in fully realizing the benefits of SWG. While …

Leak localization in a real water distribution network based on search-space reduction

S Sophocleous, D Savić, Z Kapelan - Journal of Water Resources …, 2019 - ascelibrary.org
This research article presents a model-based framework for detecting and localizing leaks in
water distribution networks (WDNs). The framework uses optimization and systematic search …

Optimal sensor placement for leak location in water distribution networks using genetic algorithms

MV Casillas, V Puig, LE Garza-Castanón, A Rosich - Sensors, 2013 - mdpi.com
This paper proposes a new sensor placement approach for leak location in water
distribution networks (WDNs). The sensor placement problem is formulated as an integer …

Leak localization in water distribution networks using a mixed model-based/data-driven approach

A Soldevila, J Blesa, S Tornil-Sin, E Duviella… - Control Engineering …, 2016 - Elsevier
This paper proposes a new method for leak localization in water distribution networks
(WDNs). In a first stage, residuals are obtained by comparing pressure measurements with …

Assessment of the structural conditions in steel pipeline under various operational conditions–A machine learning approach

M Saade, S Mustapha - Measurement, 2020 - Elsevier
Oil and water transport pipeline systems are susceptible to damage due to harsh
environmental conditions and operational factors. Hence, ongoing maintenance and …

Data-driven and model-based framework for smart water grid anomaly detection and localization

ZY Wu, A Chew, X Meng, J Cai, J Pok… - AQUA—Water …, 2022 - iwaponline.com
With increasing adoption of advanced meter infrastructure, smart sensors together with
SCADA (Supervisory Control and Data Acquisition) systems, it is imperative to develop …

Supervised machine learning approaches for leak localization in water distribution systems: Impact of complexities of leak characteristics

L Basnet, D Brill, R Ranjithan… - Journal of Water …, 2023 - ascelibrary.org
Localizing pipe leaks is a significant challenge for water utilities worldwide. Pipe leaks in
water distribution systems (WDSs) can cause the loss of a large amount of treated water …

Leveraging transfer learning in LSTM neural networks for data-efficient burst detection in water distribution systems

K Glynis, Z Kapelan, M Bakker, R Taormina - Water Resources …, 2023 - Springer
Researchers and engineers employ machine learning (ML) tools to detect pipe bursts and
prevent significant non-revenue water losses in water distribution systems (WDS) …