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AI -Driven Green Support System for Sustainability and Responsible Innovation

Author

Listed:
  • Prangya Prachi Samantaray

    (Mrs. Prangya Prachi Samantaray, Ph.D. scholar of CSE Department (Vikrant University, Gwalior))

  • Dr. Sanmati Jain

    (Dr. Sanmati Jain, Associate Prof. CSE Department (Vikrant University))

  • Dr. Arati Pradhan

    (Dr. Arati Pradhan, Assistant professor of Computer Science Department, Udayanath Autonomous college of Science and Technology, Odisha, India)

Abstract

Cloud computing is an achievement, and it is using a huge amount of energy, which is leading to an increased level of carbon emissions into the atmosphere. Therefore, it is essential to find ways to make cloud computing greener and reduce the level of energy consumption. This paper proposes a new approach to making cloud computing greener through the development of a Green Support System (GSS) that utilizes artificial intelligence to improve the sustainability of cloud computing services. The proposed approach utilizes machine learning to predict the workload and schedule the tasks to maximize the usage of green energy sources. The proposed approach can reduce the level of energy consumption by 25-35%, as indicated by the experiment results. The proposed approach is based on the principles of responsible artificial intelligence and is aligned with the UN Sustainable Development Goals related to the environment and climate change.

Suggested Citation

  • Prangya Prachi Samantaray & Dr. Sanmati Jain & Dr. Arati Pradhan, 2026. "AI -Driven Green Support System for Sustainability and Responsible Innovation," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(3), pages 4697-4702, March.
    • Handle: RePEc:bcp:journl:v:10:y:2026:i:3:p:4697-4702
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    References listed on IDEAS

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    1. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
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