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dc.contributor.authorTipantuña Tenelema, Christian José
dc.contributor.authorHesselbach Serra, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Telemàtica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2021-10-05T08:06:59Z
dc.date.available2021-10-05T08:06:59Z
dc.date.issued2021-04-16
dc.identifier.citationTipantuña, C.; Hesselbach, X. IoT-enabled proposal for adaptive self-powered renewable energy management in home systems. "IEEE access", 16 Abril 2021, vol. 9, p. 64808-64827.
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/2117/352990
dc.description© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractThe new generation of communication networks can provide massive connectivity of devices, extremely low latency, higher capacity, and increased bandwidth. These features enable the deployment of management systems in different sectors such as energy and in a wide variety of environments such as agriculture, surveillance or home systems. In this regard, this paper proposes a self-powered adaptive and automated home energy control system enabled by the Internet of Things (IoT) technologies. The system aims to adapt the consumption patterns to the availability of self-generated renewable energy (produced from solar panels, wind-mills, etc.). Therefore, the renewable and non-renewable supply from the power grid is considered a secondary power source. As part of the proposal, this paper presents the consumption negotiation scheme for IoT devices, the management mechanisms to optimize the use of the available energy, and the related model. Given the complexity of the adaptive management process, the proposal also presents a heuristic strategy based on a prepartitioning method to obtain feasible solutions in a reasonable running time. The simulation results for offline and online scenarios validate the advantages of the proposed strategy, and the numerical improvements are presented.
dc.description.sponsorshipThis work was supported by the Agencia Estatal de Investigación of Spain under the project PID2019-108713RB-C51/AEI/10.12039/501100011033. ChristianTipantuña acknowledges the support from Escuela Politécnica Nacional (EPN) and from Secretaría de Educación Superior, Ciencia, Tecnología e Innovación(SENESCYT) for his doctoral studies at Universitat Politécnica de Catalunya (UPC).
dc.format.extent20 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Impacte ambiental
dc.subject.lcshSmartphones
dc.subject.lcshCommunication--Data processing
dc.subject.otherCritical service
dc.subject.otherDegradation
dc.subject.otherEnergy management
dc.subject.otherHEMS
dc.subject.otherHeuristic
dc.subject.otherIoT
dc.subject.otherRenewable energy
dc.subject.otherSelf-powered
dc.subject.otherShifting
dc.subject.otherWorkload scheduling
dc.titleIoT-enabled proposal for adaptive self-powered renewable energy management in home systems
dc.typeArticle
dc.subject.lemacTelèfons intel·ligents
dc.subject.lemacComunicació--Informàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. BAMPLA - Disseny i Avaluació de Xarxes i Serveis de Banda Ampla
dc.identifier.doi10.1109/ACCESS.2021.3073638
dc.description.awardwinningAward-winning
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9405991
dc.rights.accessOpen Access
local.identifier.drac31850156
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108713RB-C51/ES/EVOLUCION HACIA REDES Y SERVICIOS AUTO-GESTIONADOS PARA EL 5G DEL FUTURO/
local.citation.authorTipantuña, C.; Hesselbach, X.
local.citation.publicationNameIEEE access
local.citation.volume9
local.citation.startingPage64808
local.citation.endingPage64827


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