Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/379
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dc.contributor.authorÇimen, Halil-
dc.contributor.authorPalacios-Garcia, Emilio J.-
dc.contributor.authorKolbaek, Morten-
dc.contributor.authorÇetinkaya, Nurettin-
dc.contributor.authorVasquez, Juan C.-
dc.contributor.authorGuerrero, Josep M.-
dc.date.accessioned2021-12-13T10:24:07Z-
dc.date.available2021-12-13T10:24:07Z-
dc.date.issued2021-
dc.identifier.issn1932-4529-
dc.identifier.issn1941-0115-
dc.identifier.urihttps://doi.org/10.1109/MIE.2020.3023075-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/379-
dc.description.abstractGoogle's Director of Research Peter Norvig said, We don't have better algorithms than anyone else; we just have more data. This inspiring statement shows that having more data is directly related to better decision making and foresight about the future. With the development of Internet of Things (IoT) technology, it is now much easier to gather data. Technological tools, such as social media websites, smartphones, and security cameras, can be considered as data generators. When the focus is shifted to the energy field, these generators are smart meters.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey BIDEB-2214 International Doctoral Research Fellowship Program; VILLUM FONDEN under the VILLUM Investigator Grant [25920]; Aalborg University [771116]en_US
dc.description.sponsorshipThis work was supported by the Scientific and Technological Research Council of Turkey BIDEB-2214 International Doctoral Research Fellowship Program, VILLUM FONDEN under the VILLUM Investigator Grant 25920: Center for Research on Microgrids (www.crom.et.aau.dk), and the Aalborg University Talent Program 2016 with the research project The Energy Internet-Integrating the Internet of Things Into the Smart Grid (771116).en_US
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.relation.ispartofIEEE INDUSTRIAL ELECTRONICS MAGAZINEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHome appliancesen_US
dc.subjectData modelsen_US
dc.subjectMonitoringen_US
dc.subjectFeature extractionen_US
dc.subjectSmart metersen_US
dc.subjectInternet of Thingsen_US
dc.subjectHidden Markov modelsen_US
dc.subjectAlgorithm design and theoryen_US
dc.subjectSYSTEMen_US
dc.titleSmart-Building Applications: Deep Learning-Based, Real-Time Load Monitoringen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/MIE.2020.3023075-
dc.identifier.scopus2-s2.0-85099079431en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.authoridPalacios-Garcia, Emilio Jose/0000-0003-2703-6532-
dc.authorwosidPalacios-Garcia, Emilio Jose/K-9567-2015-
dc.authorwosidGuerrero, Josep/D-5519-2014-
dc.authorwosidVasquez, Juan C./J-2247-2014-
dc.identifier.volume15en_US
dc.identifier.issue2en_US
dc.identifier.startpage4en_US
dc.identifier.endpage15en_US
dc.identifier.wosWOS:000679819200003en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid57205614115-
dc.authorscopusid55654876600-
dc.authorscopusid57192388581-
dc.authorscopusid10739795700-
dc.authorscopusid57203104097-
dc.authorscopusid35588010400-
item.cerifentitytypePublications-
item.grantfulltextembargo_20300101-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.fulltextWith Fulltext-
crisitem.author.dept02.04. Department of Electrical and Electronics Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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