From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumption

[EN] This work presents a data-efficient procedure for distinguishing between leak and no-leak days using standard hourly smart meter readings. The approach relies on a fixed Minimum Night Flow window and classifies days based on the presence or absence of continuous registered volume during night h...

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Authors: Cobacho Jordán, Ricardo|||0000-0002-0316-9050, Arregui de la Cruz, Francisco|||0000-0002-1359-2071
Format: article
Publication Date:2026
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:dnet:riunet______::73b81554a65cdc679eba8ca662af7839
Online Access:https://riunet.upv.es/handle/10251/233528
Access Level:Open access
Keyword:Residential water consumption
Leakage
Hourly readings
Smart metering
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oai_identifier_str oai:dnet:riunet______::73b81554a65cdc679eba8ca662af7839
network_acronym_str ES
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repository_id_str
spelling From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumptionCobacho Jordán, Ricardo|||0000-0002-0316-9050Arregui de la Cruz, Francisco|||0000-0002-1359-2071Residential water consumptionLeakageHourly readingsSmart metering[EN] This work presents a data-efficient procedure for distinguishing between leak and no-leak days using standard hourly smart meter readings. The approach relies on a fixed Minimum Night Flow window and classifies days based on the presence or absence of continuous registered volume during night hours. Applied to more than 21,000 users over one year, it is validated through the application of a Generalised Linear Mixed Model, which confirms that leak days exhibit systematically higher hourly volumes across the usage groups. The procedure also quantifies the hourly and daily impact of leakage and characterises its temporal organisation and influence on diurnal consumption patterns. Using only routinely available hourly data, it provides utilities with a practical framework for assessing post-meter leakage and enhancing the operational value of existing smart-meter infrastructures.Taylor & FrancisDepartamento de Ingeniería Hidráulica y Medio AmbienteEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialEscuela Técnica Superior de Ingeniería IndustrialRepositorio Institucional de la Universitat Politècnica de València Riunet20262026-02-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/233528reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:dnet:riunet______::73b81554a65cdc679eba8ca662af78392026-06-13T07:49:27Z
dc.title.none.fl_str_mv From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumption
title From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumption
spellingShingle From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumption
Cobacho Jordán, Ricardo|||0000-0002-0316-9050
Residential water consumption
Leakage
Hourly readings
Smart metering
title_short From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumption
title_full From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumption
title_fullStr From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumption
title_full_unstemmed From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumption
title_sort From hourly readings to daily leak flags: an approach to post-meter leakage detection and analysis in residential water consumption
dc.creator.none.fl_str_mv Cobacho Jordán, Ricardo|||0000-0002-0316-9050
Arregui de la Cruz, Francisco|||0000-0002-1359-2071
author Cobacho Jordán, Ricardo|||0000-0002-0316-9050
author_facet Cobacho Jordán, Ricardo|||0000-0002-0316-9050
Arregui de la Cruz, Francisco|||0000-0002-1359-2071
author_role author
author2 Arregui de la Cruz, Francisco|||0000-0002-1359-2071
author2_role author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Hidráulica y Medio Ambiente
Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Escuela Técnica Superior de Ingeniería Industrial
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Residential water consumption
Leakage
Hourly readings
Smart metering
topic Residential water consumption
Leakage
Hourly readings
Smart metering
description [EN] This work presents a data-efficient procedure for distinguishing between leak and no-leak days using standard hourly smart meter readings. The approach relies on a fixed Minimum Night Flow window and classifies days based on the presence or absence of continuous registered volume during night hours. Applied to more than 21,000 users over one year, it is validated through the application of a Generalised Linear Mixed Model, which confirms that leak days exhibit systematically higher hourly volumes across the usage groups. The procedure also quantifies the hourly and daily impact of leakage and characterises its temporal organisation and influence on diurnal consumption patterns. Using only routinely available hourly data, it provides utilities with a practical framework for assessing post-meter leakage and enhancing the operational value of existing smart-meter infrastructures.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/233528
url https://riunet.upv.es/handle/10251/233528
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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