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A filtering algorithm for high-resolution flow traces to improve water end-use analysis

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A filtering algorithm for high-resolution flow traces to improve water end-use analysis

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dc.contributor.author Pastor-Jabaloyes, Laura es_ES
dc.contributor.author Arregui de la Cruz, Francisco es_ES
dc.contributor.author Cobacho Jordán, Ricardo es_ES
dc.date.accessioned 2019-05-11T20:02:17Z
dc.date.available 2019-05-11T20:02:17Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1606-9749 es_ES
dc.identifier.uri http://hdl.handle.net/10251/120337
dc.description.abstract [EN] One of the main difficulties encountered when designing automatic tools for water end use identification is the inherent noise present in recorded flow traces. Noise is mainly caused by the inability of the monitoring equipment to accurately register water consumption and data-loggers to register, without distortion, the signal received from the water meter. A universal filtering algorithm has been developed to remove noise and simplify water consumption flow traces with the aim of improving future automatic end use identification algorithms. The performance of the proposed filtering methodology is assessed through the analysis of 21,647 events. Water consumption data were sourced from two different water end use studies, having consumers and monitoring equipment with dissimilar characteristics. The results obtained show that the algorithm is capable of removing an average of 70% of the data points that constitute the flow traces of the complex events examined. The simplified flow traces allow for faster and more accurate disaggregation and classification algorithms, without losing significant information or distorting the original signal. The ability of the proposed filtering algorithm to fit the original flow traces was benchmarked using the Kling-Gupta efficiency coefficient, obtaining an average value above 0.79. es_ES
dc.description.sponsorship This study has received funding by the IMPADAPT project/CGL2013-48424-C2-1-R from the Spanish ministry MINECO with European FEDER funds and from the European Union's Seventh Framework Programme (FP7/2007e2013) under grant agreement no. 619172 (SmartH2O: an ICT Platform to Leverage on Social Computing for the Efficient Management of Water Consumption). es_ES
dc.language Inglés es_ES
dc.publisher IWA Publishing es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//CGL2013-48424-C2-1-R/ES/ADAPTACION AL CAMBIO GLOBAL EN SISTEMAS DE RECURSOS HIDRICOS/ es_ES
dc.relation.ispartof Water Science & Technology: Water Supply es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Filtering es_ES
dc.subject Residential water flow trace disaggregation es_ES
dc.subject Smart metering data es_ES
dc.subject Water end use event es_ES
dc.subject Water micro-component es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.subject.classification MECANICA DE FLUIDOS es_ES
dc.title A filtering algorithm for high-resolution flow traces to improve water end-use analysis es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.2166/ws.2018.090 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/619172/EU/SmartH2O: an ICT Platform to leverage on Social Computing for the efficient management of Water Consumption/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Pastor-Jabaloyes, L.; Arregui De La Cruz, F.; Cobacho Jordán, R. (2018). A filtering algorithm for high-resolution flow traces to improve water end-use analysis. Water Science & Technology: Water Supply. 19(2):451-462. https://doi.org/10.2166/ws.2018.090 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.2166/ws.2018.090 es_ES
dc.description.upvformatpinicio 451 es_ES
dc.description.upvformatpfin 462 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 19 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\365681 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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