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Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities

2020-07Conference object Open access
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dc.contributor.authorBarreto, Rúben
dc.contributor.authorFaria, Pedro
dc.contributor.authorSilva, Cátia
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-01T17:56:03Z
dc.date.available2021-03-01T17:56:03Z
dc.date.issued2020-07
dc.description.abstractThe demand response program explained in this article is designed to be implemented in communities seeking to achieve a self-sustaining system, namely through renewable energy such as photovoltaic energy. This article, through concepts such as prosumer and clustering, aims to make the most efficient management of the resources provided by the energy community. The developed demand response clusters the different consumers who have the same type of consumption throughout the day. That is, it brings together those whose behavior of the respective loads resemble each other and can be viewed from the perspective of an individual load or even clustered with one or more loads. The study comprises three villages with different numbers of consumers and charges, where, through their participation, it is estimated that there are reductions in electricity bills and, for those who collaborated for the study, it is attributed a remuneration according to their performance.pt_PT
dc.description.sponsorshipThis work has received funding from Portugal 2020 under SPEAR project (NORTE - 01 - 0247 - FEDER - 040224) and from FEDER Funds through COMPETE program and from National Funds through (FCT) under the project UIDB/00760/2020, CEECIND/02887/2017, and SFRH/BD/144200/2019pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17219
dc.language.isoengpt_PT
dc.relationCEECIND/02887/2017pt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationEffective DR gathering and deployment for intensive renewable integration using aggregation and machine learning
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectClusteringpt_PT
dc.subjectDemand responsept_PT
dc.subjectEnergy Communitiespt_PT
dc.subjectProsumerpt_PT
dc.subjectRenewablespt_PT
dc.subjectSmart gridpt_PT
dc.titleClustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communitiespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardTitleEffective DR gathering and deployment for intensive renewable integration using aggregation and machine learning
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F144200%2F2019/PT
oaire.citation.conferencePlaceBerlin, Germanypt_PT
oaire.citation.title21st International Federation of Automatic Control World Congress (IFAC)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFaria
person.familyNameSilva
person.familyNameVale
person.givenNamePedro
person.givenNameCátia
person.givenNameZita
person.identifier632184
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id5318-DCFD-218D
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0001-8306-4568
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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