Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/22978
DC FieldValueLanguage
dc.contributor.authorHerodotou, Herodotos-
dc.date.accessioned2021-09-06T12:03:20Z-
dc.date.available2021-09-06T12:03:20Z-
dc.date.issued2021-05-01-
dc.identifier.citationEnergies, 2021, vol. 14, no. 9, articl. no. 2704en_US
dc.identifier.issn19961073-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/22978-
dc.language.isoenen_US
dc.relation.ispartofEnergiesen_US
dc.rights© by the author. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMicrogridsen_US
dc.subjectData-intensive analyticsen_US
dc.titleIntroduction to the special issue on data-intensive computing in smart microgridsen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/en14092704en_US
dc.identifier.scopus2-s2.0-85106421011-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85106421011-
dc.relation.issue9en_US
dc.relation.volume14en_US
cut.common.academicyear2020-2021en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.fulltextWith Fulltext-
crisitem.journal.journalissn1996-1073-
crisitem.journal.publisherMultidisciplinary Digital Publishing Institute-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-8717-1691-
crisitem.author.parentorgFaculty of Engineering and Technology-
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