Exploring the Intersection of Sustainable Computing and Intelligent Systems

Green computing, integrated with artificial intelligence (AI), presents a trans formative pathway to mitigate the environmental impact of modern computing infrastructures. This research paper investigates the strategies and methodologies employed in leveraging AI to enhance green computing practices. Focusing on energy efficiency, resource optimization, and sustainable infrastructure, the study explores the development of eco-friendly algorithms, sustainable data centers, and green cloud computing. Rigorous data analysis methodologies—incorporating statistical models and case studies—demonstrate the significant potential of AI-driven solutions in reducing energy consumption and carbon emissions. In doing so, the paper lays out a research framework for future studies aiming at the dual goals of technological advancement and environmental sustainability.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15532783
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Intersection of Sustainable Computing and Intelligent Systems

Zenodo (CERN European Organization for Nuclear Research)
Green IT and Sustainability
article

Exploring the Intersection of Sustainable Computing and Intelligent Systems

article en

Abstract

Green computing, integrated with artificial intelligence (AI), presents a trans formative pathway to mitigate the environmental impact of modern computing infrastructures. This research paper investigates the strategies and methodologies employed in leveraging AI to enhance green computing practices. Focusing on energy efficiency, resource optimization, and sustainable infrastructure, the study explores the development of eco-friendly algorithms, sustainable data centers, and green cloud computing. Rigorous data analysis methodologies—incorporating statistical models and case studies—demonstrate the significant potential of AI-driven solutions in reducing energy consumption and carbon emissions. In doing so, the paper lays out a research framework for future studies aiming at the dual goals of technological advancement and environmental sustainability.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Green IT and Sustainability
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