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Using Blockchain and Artificial Intelligence in Energy Management as a Tool to Achieve Energy Efficiency

Author

Listed:
  • Aleksandra Kuzior

    (Silesian University of Technology in Gliwice, Faculty of Organization and Management, Poland; Oleg Balatskyi Department of Management, Sumy State University, Ukraine)

  • Mariya Sira

    (Joint Doctoral School, Silesian University of Technology, Poland)

  • Paulina Brozek

    (JSofteris Company, Poland)

Abstract

Improving energy management has received a lot of attention due to environmental issues, energy crises, and growing energy prices in today’s world. Various digital technologies have been developed to enhance energy management to cover these challenges. This article investigates Blockchain and Artificial Intelligence, which have recently attracted increasing attention. The study applies the software of VOSviewer for providing bibliometric analysis. The data (pull of the scientific documents) was generated from the Scopus and Web of Science. There have been done a critical analysis of the literature for evaluating the research in the proposed area. This paper focuses on possible use cases of blockchain and artificial intelligence technologies and considers aspects of technology used to achieve energy efficiency. The findings showed that the technologies are widely applied in energy management. Besides, it is lack of documents that contain the terms ‘energy efficiency and ‘blockchain’. The results of analysis confirm that artificial intelligence has been rapidly integrating with energy management, helping to develop more efficient and secure energy generation techniques.

Suggested Citation

  • Aleksandra Kuzior & Mariya Sira & Paulina Brozek, 2022. "Using Blockchain and Artificial Intelligence in Energy Management as a Tool to Achieve Energy Efficiency," Virtual Economics, The London Academy of Science and Business, vol. 5(3), pages 69-90, November.
  • Handle: RePEc:aid:journl:v:5:y:2022:i:3:p:69-90
    DOI: 10.34021/ve.2022.05.03(4)
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    References listed on IDEAS

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    Cited by:

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    2. James Ogundiran & Ehsan Asadi & Manuel Gameiro da Silva, 2024. "A Systematic Review on the Use of AI for Energy Efficiency and Indoor Environmental Quality in Buildings," Sustainability, MDPI, vol. 16(9), pages 1-30, April.
    3. Aleksy Kwilinski & Olena Dobrovolska & Tomasz Wołowiec & Wiktor Cwynar & Iryna Didenko & Artem Artyukhov & Oleksandr Dluhopolskyi, 2024. "Carbon Dioxide, Nitrous Oxide, and Methane: What Types of Greenhouse Gases Are Most Affected by Green Investments and Renewable Energy Development?," Energies, MDPI, vol. 17(4), pages 1-18, February.
    4. Agnieszka Pokorska & Tomasz Wiśniewski, 2024. "Electromobility as a Challenge of Modern City Logistics—Indicator Analysis," Energies, MDPI, vol. 17(13), pages 1-18, June.

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