Data-driven Leakage Monitoring

Data-Driven Leakage Monitoring is a systematic methodology for detecting and localizing water losses in distribution networks by analyzing empirical sensor and metering data through statistical, computational, or machine learning techniques to identify anomalous patterns indicative of leaks.

22

Publications

917

Citations

70

Authors

32

Institutions

Publications per year

2017–2026

17

Authors

70

  1. JB
    Joaquím Blesa

    Universitat Politècnica de Catalunya, Spain

    4 publications · 234 citations

    4

    h-index

  2. ÉD
    Éric Duviella

    Universitat Politècnica de Catalunya, Spain

    3 publications · 197 citations

    3

    h-index

  3. AS
    Adrià Soldevila

    Universitat Politècnica de Catalunya, Spain

    3 publications · 206 citations

    3

    h-index

  4. ST
    Sebastián Tornil-Sin

    Universitat Politècnica de Catalunya, Spain

    3 publications · 206 citations

    3

    h-index

  5. VP
    Vicenç Puig

    Universitat Politècnica de Catalunya, Spain

    3 publications · 206 citations

    3

    h-index

1–5 of 70

Venues

  1. Journal of Hydroinformatics

    3 publications · 77 citations

    3

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. Sensors

    2 publications · 61 citations

    2

    h-index

  5. International Journal of Hydrogen Energy

    1 publications · 20 citations

    1

    h-index

1–5