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Intelligent training in control centres based on an ambient intelligence paradigm

2010Conference object Open access
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dc.contributor.authorFaria, Luiz
dc.contributor.authorSilva, António S.
dc.contributor.authorRamos, Carlos
dc.contributor.authorVale, Zita
dc.contributor.authorMarques, A.
dc.date.accessioned2013-05-15T14:22:36Z
dc.date.available2013-05-15T14:22:36Z
dc.date.issued2010
dc.date.updated2013-04-15T15:50:11Z
dc.description.abstractThis article describes a new approach in the Intelligent Training of Operators in Power Systems Control Centres, considering the new reality of Renewable Sources, Distributed Generation, and Electricity Markets, under the emerging paradigms of Cyber-Physical Systems and Ambient Intelligence. We propose Intelligent Tutoring Systems as the approach to deal with the intelligent training of operators in these new circumstances.por
dc.identifier.doi10.5555/1945758.1945776pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/1589
dc.language.isoengpor
dc.subjectAmbient intelligencepor
dc.subjectArtificial intelligencepor
dc.subjectCollaborative workpor
dc.subjectCyber-physical systemspor
dc.subjectIntelligent tutoring systemspor
dc.subjectPower system restorationpor
dc.subjectSCADA systemspor
dc.titleIntelligent training in control centres based on an ambient intelligence paradigmpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCordoba, Espanha, 2010por
oaire.citation.titleIEA/AIE 2010por
person.familyNameFaria
person.familyNameRamos
person.familyNameVale
person.givenNameLuiz
person.givenNameCarlos
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id1011-FAFC-AEBA
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-1169-7785
person.identifier.orcid0000-0002-5143-1711
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridK-7403-2014
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7005022382
person.identifier.scopus-author-id7201559105
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication.latestForDiscovery9de0e99c-714f-4ccd-9d43-0740f2ed662c

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