Power consumption estimation using in-memory database computation
dc.authorscopusid | 6507328166 | |
dc.authorscopusid | 57654781000 | |
dc.contributor.author | Dağ, Hasan | |
dc.contributor.author | Alamin,M. | |
dc.date.accessioned | 2024-10-15T19:41:51Z | |
dc.date.available | 2024-10-15T19:41:51Z | |
dc.date.issued | 2016 | |
dc.department | Kadir Has University | en_US |
dc.department-temp | Dag H., Management Infonnation Systems Department, Kadir Has University, Istanbul, Turkey; Alamin M., Management Infonnation Systems Department, Kadir Has University, Istanbul, Turkey | en_US |
dc.description.abstract | In order to efficiently predict electricity consumption, we need to improve both the speed and the reliability of computational environment. Concerning the speed, we use in-memory database, which is taught to be the best solution that allows manipulating data many times faster than the hard disk. © 2016 IEEE. | en_US |
dc.identifier.citation | 0 | |
dc.identifier.doi | 10.1109/HONET.2016.7753443 | |
dc.identifier.endpage | 169 | en_US |
dc.identifier.isbn | 978-150903784-1 | |
dc.identifier.scopus | 2-s2.0-85006982289 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 164 | en_US |
dc.identifier.uri | https://doi.org/10.1109/HONET.2016.7753443 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/6470 | |
dc.identifier.wosquality | N/A | |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 13th HONET-ICT International Symposium on Smart MicroGrids for Sustainable Energy Sources Enabled by Photonics and IoT Sensors, HONET-ICT 2016 -- 13th HONET-ICT International Symposium on Smart MicroGrids for Sustainable Energy Sources Enabled by Photonics and IoT Sensors, HONET-ICT 2016 -- 13 October 2016 through 14 October 2016 -- Haspolat, Nicosia -- 125073 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | In-Memory Database | en_US |
dc.subject | Machine Learning | en_US |
dc.subject | Power Consumption | en_US |
dc.title | Power consumption estimation using in-memory database computation | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | e02bc683-b72e-4da4-a5db-ddebeb21e8e7 | |
relation.isAuthorOfPublication.latestForDiscovery | e02bc683-b72e-4da4-a5db-ddebeb21e8e7 |