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dc.contributor.authorVivancos, Jose Luis
dc.contributor.authorBuswell, Richard A.
dc.contributor.authorCosar Jorda, Paula
dc.contributor.authorAparicio Fernandez, Carolina
dc.date.accessioned2021-09-30T08:26:51Z
dc.date.available2021-09-30T08:26:51Z
dc.date.issued2020-05
dc.identifier.citationVivancos, J. L., Buswell, R. A., Cosar Jorda, P. y Aparicio Fernandez, C. (2020). The application of quality control charts for identifying changes in time-series home energy data. Energy and Buildings, 215, 109841. https://doi.org/10.1016/j.enbuild.2020.109841es
dc.identifier.issn03787788
dc.identifier.urihttp://hdl.handle.net/20.500.12251/1998
dc.description.abstractEnergy consumption in the home is heavily influenced by the occupants and the routines they adopt. Although these routines tend to be regarded as somewhat static in nature, more recent evidence from the social sciences suggests that patterns of consumption are actually more fluid and constantly evolve to accommodate the contingencies of everyday living. This makes detecting changes in patterns of activity and their impact on energy consumption difficult, particularly when these patterns are often invisible to the householder to begin with. Being able to identify when a change occurs, therefore, could be a powerful tool to establish the context of change and so to determine more appropriate corrective action to curb waste and create opportunities for greater flexibility in consumption. The growing adoption of smart meters and home energy monitoring provide a platform for numerical approaches, yet there is little work reported in the literature and none that have attempted to evaluate effectiveness of such methods applied to detect changes in behaviour using field monitoring data from family homes. This paper reports on the application of a Change Point Detection method based on statistical quality control charts applied to identify changes in activities a family home using typical monitoring data. The approach was found to be very effective, identifying 78% of the changes that occurred over a two-year period and hence the outlook for such methods is promising. The findings suggest that such techniques could significantly improve the quality of information provided in energy feedback and so could play a significant role in the pursuit of more efficient energy use in the home by adding value to monitoring systems and services. © 2020es
dc.language.isoenges
dc.publisherElsevier Ltdes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleThe application of quality control charts for identifying changes in time-series home energy dataes
dc.typearticlees
dc.identifier.doi10.1016/j.enbuild.2020.109841
dc.identifier.urlhttps://doi.org/10.1016/j.enbuild.2020.109841es
dc.journal.titleEnergy and Buildingses
dc.rights.accessRightsopenAccesses
dc.subject.keywordElectrodomésticoses
dc.subject.keywordMonitorización de edificioses
dc.subject.keywordDomóticaes
dc.subject.keywordAhorro energéticoes
dc.subject.keywordControl de calidades
dc.subject.keywordConsumo energéticoes
dc.subject.keywordComportamiento de usuarioses
dc.subject.keywordComportamiento energéticoes
dc.subject.unesco3322.04 Transmisión de Energíaes
dc.subject.unesco6302.03 Diseño de Investigación Sociales
dc.subject.unesco6305.03 Análisis Estadísticoes
dc.subject.unesco6307.07 Tecnología y Cambio Sociales
dc.subject.unesco6311.01 Estudios de Comunidades
dc.subject.unesco3306.02 Aplicaciones Eléctricases
dc.subject.unesco3311.01 Tecnología de la Automatizaciónes
dc.subject.unesco3311.17 Equipos de Verificaciónes
dc.volume.number215es
dc.item.number109841es


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