Load Profile Analysis of Data Centers and IT Systems with Feature Effect Comparison
| dc.contributor.author | Karabinaoglu, Murat Salim | |
| dc.contributor.author | Gözel, Tuba | |
| dc.date.accessioned | 2025-10-29T11:36:42Z | |
| dc.date.issued | 2018 | |
| dc.department | Fakülteler, Mühendislik Fakültesi, Elektronik Mühendisliği Bölümü | |
| dc.description | IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) -- OCT 21-25, 2018 -- Sarajevo, BOSNIA & HERCEG | |
| dc.description.abstract | Load profile forecasting of a data center or IT system has recently been a challenging issue because of the huge consumption percentage of them within the global electricity supply. It is predicted that data centers will consume three times as much energy in next decade. The main goal of this paper is to find out which internal or external parameters are more or less effective for the power consumption of a data center by using a demo server device instead of a complicated data center. Specifically, the internal parameter analysis of a data center on power consumption by using automation control system devices, energy analyzers, appropriate custom designed software and etc. could make us to accomplish our aim regardless of the effect of cooling equipment on power consumption. | |
| dc.description.sponsorship | IEEE,IEEE Power & Energy Soc | |
| dc.description.sponsorship | GREENDC from the European Union [734273.] | |
| dc.description.sponsorship | Marie Curie Actions (MSCA) [734273] Funding Source: Marie Curie Actions (MSCA) | |
| dc.description.sponsorship | This study has been funded by the GREENDC project from the European Union's Horizon 2020 research and innovation programme under grant agreement No 734273. | |
| dc.identifier.isbn | 978-1-5386-4505-5 | |
| dc.identifier.issn | 2165-4816 | |
| dc.identifier.orcid | 0000-0003-4798-0635 | |
| dc.identifier.scopus | 2-s2.0-85060199205 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14854/13429 | |
| dc.identifier.wos | WOS:000458690200075 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2018 IEEE Pes Innovative Smart Grid Technologies Conference Europe (Isgt-Europe) | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WOS_20251020 | |
| dc.subject | data center | |
| dc.subject | IT System | |
| dc.subject | artificial neural networks | |
| dc.subject | regression | |
| dc.subject | correlation | |
| dc.title | Load Profile Analysis of Data Centers and IT Systems with Feature Effect Comparison | |
| dc.type | Conference Object |








