Power consumption estimation using in-memory database computation

dc.authorscopusid6507328166
dc.authorscopusid57654781000
dc.contributor.authorDağ, Hasan
dc.contributor.authorAlamin,M.
dc.date.accessioned2024-10-15T19:41:51Z
dc.date.available2024-10-15T19:41:51Z
dc.date.issued2016
dc.departmentKadir Has Universityen_US
dc.department-tempDag H., Management Infonnation Systems Department, Kadir Has University, Istanbul, Turkey; Alamin M., Management Infonnation Systems Department, Kadir Has University, Istanbul, Turkeyen_US
dc.description.abstractIn 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.citation0
dc.identifier.doi10.1109/HONET.2016.7753443
dc.identifier.endpage169en_US
dc.identifier.isbn978-150903784-1
dc.identifier.scopus2-s2.0-85006982289
dc.identifier.scopusqualityN/A
dc.identifier.startpage164en_US
dc.identifier.urihttps://doi.org/10.1109/HONET.2016.7753443
dc.identifier.urihttps://hdl.handle.net/20.500.12469/6470
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof13th 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 -- 125073en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIn-Memory Databaseen_US
dc.subjectMachine Learningen_US
dc.subjectPower Consumptionen_US
dc.titlePower consumption estimation using in-memory database computationen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublicatione02bc683-b72e-4da4-a5db-ddebeb21e8e7
relation.isAuthorOfPublication.latestForDiscoverye02bc683-b72e-4da4-a5db-ddebeb21e8e7

Files