Uncovering abnormal water consumption patterns for sustainability’s sake: a statistical approach

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorBorges, Ana-
Autor(es): dc.creatorCordeiro, Clara-
Autor(es): dc.creatorRamos, Maria do Rosário-
Data de aceite: dc.date.accessioned2025-08-21T15:08:22Z-
Data de disponibilização: dc.date.available2025-08-21T15:08:22Z-
Data de envio: dc.date.issued2023-01-04-
Data de envio: dc.date.issued2023-01-04-
Data de envio: dc.date.issued2022-11-28-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/13047-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/13047-
Descrição: dc.descriptionMonitoring domestic water usage may help the water utilities uncover abnormal water consumption. In this context, it is necessary to improve and develop tools based on data analysis of households’ meter readings. This study contributes to this goal by using a statistical methodology that detects abnormal water consumption patterns, namely, significant increases or decreases. This approach relies on a combination of methods that analyse billed water consumption time series. The first step is to decompose the time series using Seasonal-Trend decomposition based on Loess. Next, breakpoint analysis is performed on the seasonally adjusted time series to look for changes in the pattern over time. Afterwards, the Mann–Kendall test and Sen’s slope estimator are applied to assess whether there are significant increases or decreases in water consumption. The strategy is applied to water consumption data from the Algarve, Portugal, successfully detecting breakpoints associated with significant increasing or decreasing trends.-
Descrição: dc.descriptionFCT—Fundação para a Ciência e Tecnologia through projects UIDB/04728/2020 and UIDB/00006/2020-
Descrição: dc.descriptioninfo:eu-repo/semantics/publishedVersion-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Relação: dc.relationCentre of Statistics and its Applications-
Palavras-chave: dc.subjectBreakpoints-
Palavras-chave: dc.subjectTime series decomposition-
Palavras-chave: dc.subjectTrend analysis-
Palavras-chave: dc.subjectWater consumption-
Título: dc.titleUncovering abnormal water consumption patterns for sustainability’s sake: a statistical approach-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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