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Energy flexibility assessment of a multi agent-based smart home energy system

2017Conference object Open access
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dc.contributor.authorGazafroudi, Amin Shokri
dc.contributor.authorPinto, Tiago
dc.contributor.authorPrieto-Castrillo, Francisco
dc.contributor.authorCorchado, Juan Manuel
dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorJozi, Aria
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-11T10:24:08Z
dc.date.available2021-03-11T10:24:08Z
dc.date.issued2017
dc.description.abstractPower systems worldwide are complex and challenging environments. The increasing necessity for an adequate integration of renewable energy sources is resulting in a rising complexity in power systems operation. Multi-agent based simulation platforms have proven to be a good option to study the several issues related to these systems. In a smaller scale, a home energy management system would be effective for the both sides of the network. It can reduce the electricity costs of the demand side, and it can assist to relieve the grid congestion in peak times. This paper represents a domestic energy management system as part of a multi-agent system that models the smart home energy system. Our proposed system consists of energy management and predictor systems. This way, homes are able to transact with the local electricity market according to the energy flexibility that is provided by the electric vehicle, and it can manage produced electrical energy of the photovoltaic system inside of the home.pt_PT
dc.description.sponsorshiphis work has been supported by the European Commission H2020 MSCA-RISE-2014: Marie Sklodowska-Curie project DREAM-GO Enabling Demand Response for short and real- time Efficient And Market Based Smart Grid Operation - An intelligent and real-time simulation approach ref. 641794.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ICUWB.2017.8251008pt_PT
dc.identifier.isbn978-1-5090-5007-9
dc.identifier.urihttp://hdl.handle.net/10400.22/17406
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8251008pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectSmart homept_PT
dc.subjectEnergy management systempt_PT
dc.subjectMulti-agent systempt_PT
dc.subjectOptimization problempt_PT
dc.titleEnergy flexibility assessment of a multi agent-based smart home energy systempt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/641794/EU
oaire.citation.conferencePlaceSalamanca, Spainpt_PT
oaire.citation.endPage7pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB)pt_PT
oaire.fundingStreamH2020
person.familyNameAbrishambaf
person.familyNameJozi
person.familyNameVale
person.givenNameOmid
person.givenNameAria
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id7F1A-B942-5BD2
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4249-8367
person.identifier.orcid0000-0002-0968-7879
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57189232486
person.identifier.scopus-author-id57193337928
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication72f5a93f-febb-46bf-a69d-50881f80cb41
relation.isAuthorOfPublication7c41d730-faad-4de9-9a4e-4e25af8fac50
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery7c41d730-faad-4de9-9a4e-4e25af8fac50
relation.isProjectOfPublication4a092e97-cc2f-4f57-8d3c-cf1709963516
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