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Multiagent Simulation of Demand Flexibility Integration in Local Energy Markets

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dc.contributor.authorPinto, Tiago
dc.contributor.authorBoeno, Nathalia
dc.contributor.authorVale, Zita
dc.contributor.authorSica, Everthon
dc.date.accessioned2021-03-08T16:48:47Z
dc.date.available2021-03-08T16:48:47Z
dc.date.issued2020
dc.descriptionInternational Conference on Renewable Energy, online, November 25-27, 2020pt_PT
dc.description.abstractOvercoming the issues associated with the variability of renewable generation has become a constant challenge in power and energy systems. The use of load flexibility is one of the most promising ways to face it. Suitable ways to incorporate flexibility in the electricity market, in addition to the already challenging integration of distributed generation primary sources, are therefore crucial. The integration of prosumers and consumers flexibility in the market is, however, not straightforward, as current wholesale and retail market structures are not prepared to deal with the current and future needs of the system. Several models for local energy markets have been studied and experimented; but there it is still not clear what is the most efficient way to integrate the dynamic participation of demand flexibility in this type of local markets.pt_PT
dc.description.sponsorshipThis work has received funding from the EU Horizon 2020 research and innovation program under project TradeRES (grant agreement No 864276), from FEDER Funds through COMPETE program and from National Funds through (FCT) under projects CEECIND/01811/2017 and UID/EEA/00760/2019.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1051/e3sconf/202123900010pt_PT
dc.identifier.issn2267-1242
dc.identifier.urihttp://hdl.handle.net/10400.22/17304
dc.language.isoengpt_PT
dc.publisherEDP Sciencespt_PT
dc.relationCEECIND/01811/2017pt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://www.e3s-conferences.org/articles/e3sconf/abs/2021/15/e3sconf_icren2021_00010/e3sconf_icren2021_00010.htmlpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectEnergypt_PT
dc.subjectRenewable resourcespt_PT
dc.subjectElectricity marketspt_PT
dc.titleMultiagent Simulation of Demand Flexibility Integration in Local Energy Marketspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.citation.titleE3S Web of Conferencespt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNamePinto
person.familyNameVale
person.givenNameTiago
person.givenNameZita
person.identifierR-000-T7J
person.identifier632184
person.identifier.ciencia-id2414-9B03-C4BB
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-8248-080X
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridT-2245-2018
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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