Load Profile Analysis of Data Centers and IT Systems with Feature Effect Comparison

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IEEE

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info:eu-repo/semantics/closedAccess

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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.

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) -- OCT 21-25, 2018 -- Sarajevo, BOSNIA & HERCEG

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data center, IT System, artificial neural networks, regression, correlation

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2018 IEEE Pes Innovative Smart Grid Technologies Conference Europe (Isgt-Europe)

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