5G for Smart Grids: Review, Taxonomy, Bibliometrics, Applications and Future Trends

R., Rituraj [Rituraj, Rituraj (Alkalmazott matem...), author] Doctoral School of Applied Informatics and Appl... (ÓU); Daniel, Tamas Varkonyi [Várkonyi, Dániel Tamás (Adatbányászat és ...), author] Department of Data Science and Engineering (ELTE / ELU FoI / IIUC); Amirhosein, Mosavi [Mosavi, Amirhosein (Natural Science), author] Szoftvertervezés- és Fejlesztés Intézet (ÓU / NJFCS); Institute of Information Society (UPS / EJRC); Annamaria, Varkonyi Koczy [Várkonyiné Kóczy, Annamária (Informatika), author] Szoftvertervezés- és Fejlesztés Intézet (ÓU / NJFCS)

English Conference paper (Chapter in Book) Scientific
    Subjects:
    • Data stream analysis
    • Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
    • ENGINEERING AND TECHNOLOGY
    • Wireless communications, communication, high frequency, mobile technology
    This comprehensive literature review analyzes the current state-of-the-art research on 5G applications and technologies in smart grids. Adhering to PRISMA guidelines, the review presents a detailed taxonomy of applications and methodologies being utilized in this field. The review searched various electronic databases from 2012 to 2022, and conducted bibliometric analysis to identify research trends, influential authors, journals, and institutions in this field. The review identifies various 5G applications and technologies used in Smart grids, and the potential benefits of 5G technology in enhancing the efficiency, reliability, and security of smart grid systems. The study provides valuable insights into the research trends, research gaps, and future research directions in this field, and can guide researchers and practitioners in developing and implementing 5G-enabled smart grid systems.
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    2026-03-17 07:52