Review of model-based and data-driven approaches for leak detection and location in water distribution systems

Z Hu, B Chen, W Chen, D Tan, D Shen - Water Supply, 2021 - iwaponline.com
Leak detection and location in water distribution systems (WDSs) is of utmost importance for
reducing water loss, which is, however, a major challenge for water utility companies. To this …

Novel approach for burst detection in water distribution systems based on graph neural networks

A Zanfei, A Menapace, BM Brentan, M Righetti… - Sustainable Cities and …, 2022 - Elsevier
Sustainable management of water resources is a key challenge for the well-being and
security of current and future society worldwide. In this regard, water utilities have to ensure …

Leak localization in water distribution networks using pressure and data-driven classifier approach

C Sun, B Parellada, V Puig, G Cembrano - Water, 2019 - mdpi.com
Leaks in water distribution networks (WDNs) are one of the main reasons for water loss
during fluid transportation. Considering the worldwide problem of water scarcity, added to …

[HTML][HTML] A digital twin of a water distribution system by using graph convolutional networks for pump speed-based state estimation

CA Bonilla, A Zanfei, B Brentan, I Montalvo, J Izquierdo - Water, 2022 - mdpi.com
Water distribution system monitoring is currently carried out using advanced real-time
control technologies to achieve a higher operational efficiency. Data analysis techniques …

Tuning ANN hyperparameters for forecasting drinking water demand

A Menapace, A Zanfei, M Righetti - Applied Sciences, 2021 - mdpi.com
The evolution of smart water grids leads to new Big Data challenges boosting the
development and application of Machine Learning techniques to support efficient and …

Calibration procedure for water distribution systems: Comparison among hydraulic models

A Zanfei, A Menapace, S Santopietro, M Righetti - Water, 2020 - mdpi.com
Proper hydraulic simulation models, which are fundamental to analyse a water distribution
system, require a calibration procedure. This paper proposes a multi-objective procedure to …

Speed and pressure controls of pumps-as-turbines installed in branch of water-distribution network subjected to highly variable flow rates

JC Alberizzi, M Renzi, M Righetti, GR Pisaturo, M Rossi - Energies, 2019 - mdpi.com
The use of Pumps-as-Turbines (PaTs) to replace hydraulic turbines as energy-recovery units
in industrial and civil applications is widening the penetration of hydropower in small-scale …

An artificial intelligence approach for managing water demand in water supply systems

A Zanfei, A Menapace, M Righetti - IOP Conference Series: Earth …, 2023 - iopscience.iop.org
Water demand management is essential for water utilities, which have the critical task of
supplying drinking water from water sources to end-users through the distribution network …

[HTML][HTML] Graph neural networks for sensor placement: A proof of concept towards a digital twin of water distribution systems

A Menapace, A Zanfei, M Herrera, B Brentan - Water, 2024 - mdpi.com
Urban water management faces new challenges due to the rise of digital solutions and
abundant data, leading to the development of data-centric tools for decision-making in …

Assessment of ERA5-land data in medium-term drinking water demand modelling with deep learning

P Dhawan, D Dalla Torre, A Zanfei, A Menapace… - Water, 2023 - mdpi.com
Drinking water demand modelling and forecasting is a crucial task for sustainable
management and planning of water supply systems. Despite many short-term investigations …