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Decoding the Developmental Trajectory of Energy Trading in Power Markets through Bibliometric and Visual Analytics

Author

Listed:
  • Yu Sun

    (School of Finance and Economics, Zhenjiang College, Zhenjiang 212028, China
    School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Zhiqiang Ma

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Xiaomeng Chi

    (Jiangsu University Cranfield Tech Futures Graduate Institute, Zhenjiang 212013, China)

  • Jiaqi Duan

    (School of Health, Tianhua College, Shanghai Normal University, Shanghai 201815, China)

  • Mingxing Li

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Asad Ullah Khan

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

Abstract

This research leverages bibliometric methodologies, enhanced by the visual analytics capabilities of CiteSpace, to meticulously examine the evolution and current trends in energy trading within power markets, analyzing 642 scholarly articles from the Web of Science Core Collection spanning from 1996 to 2023. The study aims to illuminate the prevailing research landscape, growth patterns, and future directions in energy trading dynamics. Key findings include: (1) A noticeable escalation in the volume of publications, especially from 2021 to 2023, indicating a burgeoning interest and rapid evolution in this research area; (2) The author and institutional collaboration networks are in a nascent stage, with a predominantly China-centric international collaboration pattern, including significant partnerships with the United States, Australia, and the United Kingdom; (3) The focal points of research are centered around themes such as “energy management”, “demand-side innovation”, “decentralized energy trading”, and “strategic optimization”, covering areas such as intelligent grid technologies, energy market dynamics, and sustainable energy solutions. The study recommends enhancing collaborative networks, fusing technological and strategic dimensions in research, increasing focus and funding for emerging technologies, and promoting wider international and cross-disciplinary collaborations to enrich the understanding of energy trading dynamics in the context of electricity markets.

Suggested Citation

  • Yu Sun & Zhiqiang Ma & Xiaomeng Chi & Jiaqi Duan & Mingxing Li & Asad Ullah Khan, 2024. "Decoding the Developmental Trajectory of Energy Trading in Power Markets through Bibliometric and Visual Analytics," Energies, MDPI, vol. 17(15), pages 1-23, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:15:p:3605-:d:1440561
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    References listed on IDEAS

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