Power consumption estimation using in-memory database computation

dc.contributor.author Dag,H.
dc.contributor.author Alamin,M.
dc.contributor.other Management Information Systems
dc.contributor.other 03. Faculty of Economics, Administrative and Social Sciences
dc.contributor.other 01. Kadir Has University
dc.date.accessioned 2024-10-15T19:41:51Z
dc.date.available 2024-10-15T19:41:51Z
dc.date.issued 2016
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.citationcount 0
dc.identifier.doi 10.1109/HONET.2016.7753443
dc.identifier.isbn 978-150903784-1
dc.identifier.scopus 2-s2.0-85006982289
dc.identifier.uri https://doi.org/10.1109/HONET.2016.7753443
dc.identifier.uri https://hdl.handle.net/20.500.12469/6470
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.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
gdc.author.institutional Dağ, Hasan
gdc.author.scopusid 6507328166
gdc.author.scopusid 57654781000
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gdc.description.department Kadir Has University en_US
gdc.description.departmenttemp Dag H., Management Infonnation Systems Department, Kadir Has University, Istanbul, Turkey; Alamin M., Management Infonnation Systems Department, Kadir Has University, Istanbul, Turkey en_US
gdc.description.endpage 169 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.startpage 164 en_US
gdc.identifier.openalex W2555264036
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 2.5942106E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Machine Learning
gdc.oaire.keywords Power Consumption
gdc.oaire.keywords In-Memory Database
gdc.oaire.popularity 9.69847E-10
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0101 mathematics
gdc.oaire.sciencefields 01 natural sciences
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