2. Repository of UKIM
  3. Faculty of Electrical Engineering and Information Technologies
  4. Faculty of Electrical Engineering and Information Technologies: Journal Articles

Repository of UKIM


Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22070
DC FieldValueLanguage
dc.contributor.authorIslam, Saiful; Rojek, Lukasz; Hartmann, Michael; Rafajlovski, Goranen_US
dc.date.accessioned2022-08-10T06:30:18Z-
dc.date.available2022-08-10T06:30:18Z-
dc.date.issued2020-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22070-
dc.language.isoen_USen_US
dc.publisherInternational Journal on Information Technologies and Securityen_US
dc.subjectsmart energy house, microgrid, renewable energy, artificial intelegenceen_US
dc.titleARTIFICAL INTELLIGENCE IN RENEWABLE ENERGY SYSTEMS BASED ON SMART ENERGY HOUSEen_US
dc.typeArticleen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Journal Articles
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