UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 9 | September 2026

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Published in:

Volume 13 Issue 9
September-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2609301


Registration ID:
586352

Page Number

d1-d9

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Title

AI Energy Consumption and Its Impact on Environmental Sustainability

Abstract

ABSTRACT Artificial Intelligence (AI) and Generative AI (GenAI) have become important technologies in the modern world and are widely used in areas such as healthcare, education, banking, transportation, and business. GenAI systems can perform complex tasks such as generating text, images, and other content. However, the growing use of AI and GenAI requires significant computing resources, which can increase electricity consumption and create environmental challenges. Data centres require energy for processing, storage, networking, and cooling, while water may also be used for cooling. These activities can contribute to carbon emissions and other environmental impacts. This paper explores the relationship between AI energy consumption and environmental sustainability. The study focuses on electricity consumption, carbon emissions, water use, and cooling requirements associated with AI systems. It also examines GenAI models, particularly Transformer-based models and Diffusion Models, to understand their role in energy consumption. The research uses Linear Regression, Decision Tree, KMeans, and Random Forest techniques to analyse energy consumption data, identify patterns, make predictions, and support sustainable decision-making. Based on the findings, the paper proposes sustainable approaches such as renewable energy, energy-efficient AI models, energy-aware scheduling, and smart cooling systems to reduce the environmental impact of AI. The study concludes that AI and GenAI can become more sustainable when energy efficiency and environmental considerations are included in their development and use.

Key Words

Artificial Intelligence, Generative AI, Energy Consumption, Environmental Sustainability, Carbon Emissions, Renewable Energy, Smart Cooling, Green Computing, Machine Learning.

Cite This Article

"AI Energy Consumption and Its Impact on Environmental Sustainability ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 9, page no.d1-d9, September-2026, Available :http://www.jetir.org/papers/JETIR2609301.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AI Energy Consumption and Its Impact on Environmental Sustainability ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 9, page no. ppd1-d9, September-2026, Available at : http://www.jetir.org/papers/JETIR2609301.pdf

Publication Details

Published Paper ID: JETIR2609301
Registration ID: 586352
Published In: Volume 13 | Issue 9 | Year September-2026
DOI (Digital Object Identifier):
Page No: d1-d9
Country: Mumbai, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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