Work

Data Extraction Grid: A Systematic Review of Artificial Intelligence for Data Center Energy Efficiency, Bridging the IT Cooling Divide

Year: 2026

Type: supplementary-materials

Abstract: Data extraction grid for the 45 studies included in the systematic review "A Systematic Review of Artificial Intelligence for Data Center Energy Efficiency: Bridging the IT Cooling Divide" (submitted to Energies, MDPI). Fields: Study ID, authors, journal, year, subsystem (Cooling/ICT/Full-DC), main AI technique, dataset/validation context, and key quantitative result. Companion dataset to the manuscript.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22729523

Authors: NASSIM, MOUNA, BEZZA, Mohamed

Institution: University of Hassan II Casablanca

Language: English

Topic: Energy Efficiency in Computing

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7212384682

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