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http://hdl.handle.net/20.500.12188/22070| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Islam, Saiful; Rojek, Lukasz; Hartmann, Michael; Rafajlovski, Goran | en_US |
| dc.date.accessioned | 2022-08-10T06:30:18Z | - |
| dc.date.available | 2022-08-10T06:30:18Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/22070 | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | International Journal on Information Technologies and Security | en_US |
| dc.subject | smart energy house, microgrid, renewable energy, artificial intelegence | en_US |
| dc.title | ARTIFICAL INTELLIGENCE IN RENEWABLE ENERGY SYSTEMS BASED ON SMART ENERGY HOUSE | en_US |
| dc.type | Article | en_US |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Journal Articles | |
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