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The application of quality control charts for identifying changes in time-series home energy data

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The application of quality control charts for identifying changes in time-series home energy data

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dc.contributor.author Vivancos, José-Luis es_ES
dc.contributor.author Buswell, Richard A. es_ES
dc.contributor.author Cosar-Jorda, Paula es_ES
dc.contributor.author Aparicio Fernandez, Carolina Sabina es_ES
dc.date.accessioned 2021-04-17T03:32:32Z
dc.date.available 2021-04-17T03:32:32Z
dc.date.issued 2020-05-15 es_ES
dc.identifier.issn 0378-7788 es_ES
dc.identifier.uri http://hdl.handle.net/10251/165280
dc.description.abstract [EN] Energy 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. es_ES
dc.description.sponsorship The data used to underpin this has been produced under the LEEDR: Low Effort Energy Demand Reduction Project based at Loughborough University, UK (EPSRC Grant Number EP/I00 0267/1). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Energy and Buildings es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Domestic monitoring data es_ES
dc.subject Appliances es_ES
dc.subject Changes es_ES
dc.subject Occupancy es_ES
dc.subject Statistical quality control es_ES
dc.subject Family homes es_ES
dc.subject.classification CONSTRUCCIONES ARQUITECTONICAS es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.title The application of quality control charts for identifying changes in time-series home energy data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.enbuild.2020.109841 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UKRI//EP%2FI000267%2F1/GB/LEEDR: Low Effort Energy Demand Reduction (Part 2 of the Call)/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Construcciones Arquitectónicas - Departament de Construccions Arquitectòniques es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria es_ES
dc.description.bibliographicCitation Vivancos, J.; Buswell, RA.; Cosar-Jorda, P.; Aparicio Fernandez, CS. (2020). The application of quality control charts for identifying changes in time-series home energy data. Energy and Buildings. 215:1-11. https://doi.org/10.1016/j.enbuild.2020.109841 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.enbuild.2020.109841 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 11 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 215 es_ES
dc.relation.pasarela S\419280 es_ES
dc.contributor.funder Engineering and Physical Sciences Research Council, Reino Unido es_ES
dc.contributor.funder UK Research and Innovation es_ES
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