IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v10y2026i3p4697-4702.html

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
    as

    Download full text from publisher

    File URL: https://rsisinternational.org/journals/ijriss/uploads/vol10-iss3-pg4697-4702-202604_pdf.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/view/ai-driven-green-support-system-for-sustainability-and-responsible-innovation/
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcp:journl:v:10:y:2026:i:3:p:4697-4702. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.