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

Bibliographic Data

ID21229490
AuthorsAriele Zanfei (0000-0002-3759-6421, Free University of Bozen-Bolzano, corresponding author), Andrea Menapace (0000-0003-0778-9721, Free University of Bozen-Bolzano), Bruno M Brentan (0000-0003-0616-2281, Universidade Federal de Minas Gerais), Maurizio Righetti (0000-0002-4969-2234, Free University of Bozen-Bolzano), Manuel Herrera (0000-0001-9662-0017, University of Cambridge)
Year2022
Volume86
Pages104090
Publication date2022-11-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2022.104090
OpenAlexW4288738995
LanguageEN
Citations received6
References cited42

Anomaly detection · Convolutional neural network · Data mining · Graph · Computer Science · Electricity Theft Detection Techniques · Water Quality Monitoring Technologies · Water Systems and Optimization · Artificial Intelligence · Theoretical Computer Science

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    Open Access•Mengru Li, Xiaoming Shi et al.•Sustainable Cities and Society•2024

  • Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering

    Open Access•Lauren McMillan, Jawad Fayaz et al.•Sustainable Cities and Society•2023

  • Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas

    Open Access•Shahzeb Tariq, Shahroz Tariq et al.•Sustainable Cities and Society•2023

  • An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption

    Open Access•Hani Ghamkhar, Mohammadreza Jalili Ghazizadeh et al.•Sustainable Cities and Society•2023

  • Deep learning in neural networks

    Open Access•Jurgen Schmidhuber•Neural Networks•2015

  • A Comprehensive Survey on Graph Neural Networks

    Open Access•Zonghan Wu, Shirui Pan et al.•IEEE Transactions on Neural…•2021

  • Long Short-Term Memory

    Sepp Hochreiter, Jurgen Schmidhuber•Neural Computation•1997

  • Optimal assets management of a water distribution network for leakage minimization based on an innovative index

    Open Access•Giovanna Cavazzini, Giorgio Pavesi et al.•Sustainable Cities and Society•2020

  • Improve leakage management to reach sustainable water supply networks through by green energy systems. Optimized case study

    Open Access•Carlos Andrés Macías Ávila, Francisco-Javier Sánchez-Romero et al.•Sustainable Cities and Society•2022

  • Improvement of the energy efficiency in water systems through water losses reduction using the district metered area (DMA) approach

    Open Access•Samuele Spedaletti, Mosè Rossi et al.•Sustainable Cities and Society•2022

  • An urban planning sustainability framework

    Open Access•Pepe Puchol‐Salort, Jimmy O’keeffe et al.•Sustainable Cities and Society•2021

  • Enhancing water system models by integrating big data

    Open Access•M Ehsan Shafiee, Zachary Barker et al.•Sustainable Cities and Society•2018

Citations per year2
Citation span2023 - 2025 (3)
Highly citedNo

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