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Shared Intelligence for smart grids management

2016Journal article Restricted access
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dc.contributor.authorPraça, Isabel
dc.contributor.authorSoares, João
dc.contributor.authorGomes, Luis
dc.contributor.authorVinagre, Eugénia
dc.contributor.authorVale, Zita
dc.contributor.authorBelhaj, Lamya Abdeljalil
dc.date.accessioned2017-07-07T13:37:11Z
dc.date.embargo2117
dc.date.issued2016
dc.description.abstractMaking smart grids and microgrids an overwhelming and successful reality implies the consideration of a lot of challenges coming from different domains and collaboration is a keyword to seize the high ground. SEAS Shared Intelligence (SEAS SI) is a platform for algorithms sharing and execution developed under the scope of Smart Energy Aware Systems (SEAS) project to promote the intelligent management of smart grids and microgrids, by means of the shared usage of algorithms and tools, while ensuring code and intellectual protection. In this paper the platform goals and architecture will be described, and a case study based on SEAS-SI available algorithms, EVeSSi and FreqReg, will be presented. The case study aims at highlighting the collaborative management relevance allowing the simulation of the dynamic behavior of a huge number of electric vehicles while addressing the frequency regulation service for the smart grid.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/SSCI.2016.7849855pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/9998
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.ispartofseriesSSCI;2016
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7849855/pt_PT
dc.subjectCollaborative intelligencept_PT
dc.subjectSEAS Shared Intelligencept_PT
dc.subjectSmart grids managementpt_PT
dc.subjectElectric Vehiclespt_PT
dc.titleShared Intelligence for smart grids managementpt_PT
dc.title.alternativeA Scenario for the Profitability of Electric Vehicle Frequency regulation in Francept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titlePROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCEpt_PT
person.familyNamePraça
person.familyNameSoares
person.familyNameVale
person.givenNameIsabel
person.givenNameJoão
person.givenNameZita
person.identifier299522
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idC710-4218-1BFF
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id6F19-CB63-C8A8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-2519-9859
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-8597-3383
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridK-8430-2014
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id22734900800
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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