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Investigating The Nexus Between Green Energy And Artificial Intelligence (Ai)

Author

Listed:
  • MITHUN S ULLAL

    (DEPARTMENT OF COMMERCE, MANIPAL ACADEMY OF HIGHER EDUCATION MANIPAL, INDIA)

  • ADITYA ANAND

    (DEPARTMENT OF COMMERCE, MANIPAL ACADEMY OF HIGHER EDUCATION MANIPAL, INDIA)

  • POPESCU VIRGIL

    (UNIVERSITY OF CRAIOVA, FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION, CRAIOVA, ROMANIA)

  • BIRAU RAMONA

    (UNIVERSITY OF CRAIOVA, EUGENIU CARADA DOCTORAL SCHOOL OF ECONOMIC SCIENCES, CRAIOVA, ROMANIA & FACULTY OF ECONOMIC SCIENCE, UNIVERSITY CONSTANTIN BRANCUSI, TG-JIU, ROMANIA)

Abstract

Artificial Intelligence (AI) can enhance the efficient use of green energy and increase the scalability of renewable energy. The global shift towards green energy has to managed and optimized which is a major challenge. Deep learning can play a vital role in predictive maintenance and storage. The data available from renewable energy systems can be analyzed by the artificial intelligence (AI) in real time to predict and manage energy generation and demand response which drastically reduces wastage of energy and distribution of energy can be more efficient. In this context, the integration of AI with renewable energy systems represents a paradigm shift in addressing the global energy crisis. Currently, an increased importance is gained by green technologies in order to obtain a sustainable economic wealth.

Suggested Citation

  • Mithun S Ullal & Aditya Anand & Popescu Virgil & Birau Ramona, 2024. "Investigating The Nexus Between Green Energy And Artificial Intelligence (Ai)," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 84-90, December.
    • Handle: RePEc:cbu:jrnlec:y:2024:v:6ii:p:84-90
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    References listed on IDEAS

    as
    1. Raghu Raman & Sangeetha Gunasekar & Deepa Kaliyaperumal & Prema Nedungadi, 2024. "Navigating the Nexus of Artificial Intelligence and Renewable Energy for the Advancement of Sustainable Development Goals," Sustainability, MDPI, vol. 16(21), pages 1-25, October.
    2. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Nepal, Rabindra, 2024. "How does artificial intelligence promote renewable energy development? The role of climate finance," Energy Economics, Elsevier, vol. 133(C).
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