[HTML][HTML] Addressing data limitations in leakage detection of water distribution systems: Data creation, data requirement reduction, and knowledge transfer

Y Wu, S Liu, Z Kapelan - Water Research, 2024 - Elsevier
Leakage in water distribution systems is a significant problem worldwide, leading to wastage
of water resources, compromised water quality and excess energy consumption. Leakage …

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 …

Micro hydro power generation in water distribution networks through the optimal pumps-as-turbines sizing and control

MK Kostner, A Zanfei, JC Alberizzi, M Renzi, M Righetti… - Applied Energy, 2023 - Elsevier
Sustainable use of water and energy sources is a crucial challenge for smart and resilient
urban water infrastructure. At this aim, this study presents a methodology for implementing …

A short-term water demand forecasting model using multivariate long short-term memory with meteorological data

A Zanfei, BM Brentan, A Menapace… - Journal of …, 2022 - iwaponline.com
Sustainable management of water resources is a key challenge nowadays and in the future.
Water distribution systems have to ensure fresh water for all users in an increasing demand …

An ensemble neural network model to forecast drinking water consumption

A Zanfei, A Menapace, F Granata… - Journal of Water …, 2022 - ascelibrary.org
A reliable short-term forecasting model is fundamental to managing a water distribution
system properly. This study addresses the problem of the efficient development of a deep …

Graph neural networks for pressure estimation in water distribution systems

H Truong, A Tello, A Lazovik… - Water Resources …, 2024 - Wiley Online Library
Pressure and flow estimation in water distribution networks (WDNs) allows water
management companies to optimize their control operations. For many years, mathematical …

Employing demand prediction in pump as turbine plant design regarding energy recovery enhancement

A Kandi, G Meirelles, B Brentan - Renewable Energy, 2022 - Elsevier
Abstract Nowadays, Pump as Turbine (PAT) technology is broadly accepted as a proper
renewable generation tool, especially in small capacities. PAT plant design is dependent on …

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 …

How does missing data imputation affect the forecasting of urban water demand?

A Zanfei, A Menapace, BM Brentan… - Journal of Water …, 2022 - ascelibrary.org
Nowadays, drinking water demand forecasting has become fundamental to efficiently
manage water distribution systems. With the growth of accessible data and the increase of …

Optimal pressure management in water distribution systems: efficiency indexes for volumetric cost performance, consumption and linear leakage measurements

RP Mathye, M Scholz, S Nyende-Byakika - Water, 2022 - mdpi.com
Water is a finite resource and should be given the attention it deserves to reduce its
depletion through leakages in pipe systems. The authors implemented pressure …