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dc.contributor.authorBravo Muñoz, Ignacio 
dc.contributor.authorGardel Vicente, Alfredo 
dc.contributor.authorPalomar González, Esther 
dc.contributor.authorCruz de la Torre, Carlos 
dc.date.accessioned2021-03-22T15:42:19Z
dc.date.available2021-03-22T15:42:19Z
dc.date.issued2019-09-14
dc.identifier.bibliographicCitationCruz, C., Palomar, E., Bravo, I. & Gardel, A. 2019, "Towards sustainable energy-efficient communities based on a scheduling algorithm", Sensors, 2019, v. 19, n. 18, 3973.
dc.identifier.issn7803-7842
dc.identifier.urihttp://hdl.handle.net/10017/46997
dc.description.abstractThe Internet of Things (IoT) and Demand Response (DR) combined have transformed the way Information and Communication Technologies (ICT) contribute to saving energy and reducing costs, while also giving consumers more control over their energy footprint. Unlike current price and incentive based DR strategies, we propose a DR model that promotes consumers reaching coordinated behaviour towards more sustainable (and green) communities. A cooperative DR system is designed not only to bolster energy efficiency management at both home and district levels, but also to integrate the renewable energy resource information into the community's energy management. Initially conceived in a centralised way, a data collector called the "aggregator" will handle the operation scheduling requirements given the consumers' time preferences and the available electricity supply from renewables. Evaluation on the algorithm implementation shows feasible computational cost (CC) in different scenarios of households, communities and consumer behaviour. Number of appliances and timeframe flexibility have the greatest impact on the reallocation cost. A discussion on the communication, security and hardware platforms is included prior to future pilot deployment.en
dc.description.sponsorshipComunidad de Madrides_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPI
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectCooperative smart communityen
dc.subjectScheduling algorithmen
dc.subjectConsumer preferencesen
dc.subjectRenewablesen
dc.titleTowards sustainable energy-efficient communities based on a scheduling algorithmen
dc.typeinfo:eu-repo/semantics/articleen
dc.subject.ecienciaElectrónicaes_ES
dc.subject.ecienciaElectronicsen
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Electrónicaes_ES
dc.date.updated2021-03-22T15:38:50Z
dc.relation.publisherversionhttps://doi.org/10.3390/s19183973
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/s19183973
dc.relation.projectID2017-T1/TIC-5184 (Comunidad de Madrid)es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.uxxiAR/0000033506
dc.identifier.publicationtitleSensors
dc.identifier.publicationvolume19
dc.identifier.publicationissue18


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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