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Energy Analyzer Emulation for Energy Management Simulators

dc.contributor.authorGomes, Luis
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-09T12:11:37Z
dc.date.available2021-03-09T12:11:37Z
dc.date.issued2018
dc.description.abstractThe simulation of microgrids to testing and validate energy management methodologies are an important step to take before the massive implementation of microgrids. However, microgrids are usually unavailable for R&D centers to perform tests and validations. To solve this issue is important to get the simulations closer to the reality, using real energy analyzers and loads. However, again, R&D centers lack from funding and space to buy and mount several loads in their laboratories. To solve this issue, this paper proposes a multi-agent system simulator for microgrids and an energy analyzer emulator that can be used to emulate individual loads or entire houses, and therefore, bringing the pure simulation closer to the reality.pt_PT
dc.description.sponsorshipThe present work has been developed under the EUREKA - ITEA2 Project M2MGrids (ITEA-13011), Project SIMOCE (ANI|P2020 17690), and has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013 and SFRH/BD/109248/2015.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-319-62410-5_26pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17326
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relationITEA-13011pt_PT
dc.relationANI|P2020 17690pt_PT
dc.relationuGIM – Gestão inteligente de micro-redes com base num modelo multiagente e na utilização inteligente de programas de gestão ativa de carga
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-319-62410-5_26pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectEnergy analyzer emulatorpt_PT
dc.subjectForecastingpt_PT
dc.subjectLoad emulationpt_PT
dc.subjectMulti-agent systempt_PT
dc.titleEnergy Analyzer Emulation for Energy Management Simulatorspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleuGIM – Gestão inteligente de micro-redes com base num modelo multiagente e na utilização inteligente de programas de gestão ativa de carga
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F109248%2F2015/PT
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.endPage222pt_PT
oaire.citation.startPage215pt_PT
oaire.citation.title14th International Conference Distributed Computing and Artificial Intelligence (DCAI 2017)pt_PT
oaire.citation.volume620pt_PT
oaire.fundingStream5876
person.familyNameVale
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id6F19-CB63-C8A8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-8597-3383
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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