International Journal Science and Technology (IJST)
Vol. 4 No. 2 (2025): July: International Journal Science and Technology

AI-Driven Digital Twin for Energy Optimization in Green Data Centers

Oktria, Isni (Unknown)

Article Info

Publish Date
31 Jul 2025

Abstract

This study proposes the development of an AI-driven digital twin for data centers aimed at improving energy efficiency, reducing carbon footprint, and enhancing operational performance. The digital twin—a virtual replica of the physical data center—will be equipped with real-time AI algorithms to predict thermal loads, analyze cooling requirements, and automatically adjust operations to minimize energy consumption. This paper explores the integration of AI with digital twin architectures, tests its performance in simulated scenarios, and evaluates potential energy savings as well as contributions to Green IT practices.

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Journal Info
International Journal Science and Technology (IJST)
Website

Abbrev

IJST

Publisher

Asosiasi Dosen Muda Indonesia

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

International Journal Science and Technology (IJST) is a scientific journal that presents original articles about research knowledge and information or the latest research and development applications in the field of technology. The scope of the IJST Journal covers the fields of Informatics, ...