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Smart Technologies Applied in Microgrids of Renewable Energy Sources: A Systematic Review

Author

Listed:
  • Toni Alex Reis Borges

    (Departamento de Computação, Instituto Federal da Bahia, Feira de Santana 44096-486, Brazil
    Núcleo de Pesquisa Aplicada e Inovação—NPAI, Salvador 41741-020, Brazil)

  • Filipe Cardoso Brito

    (Núcleo de Pesquisa Aplicada e Inovação—NPAI, Salvador 41741-020, Brazil
    Departamento Stricto Sensu, Universidade SENAI CIMATEC, Salvador 41650-010, Brazil)

  • Rafael Guimarães Oliveira dos Santos

    (Núcleo de Pesquisa Aplicada e Inovação—NPAI, Salvador 41741-020, Brazil
    Departamento Stricto Sensu, Universidade SENAI CIMATEC, Salvador 41650-010, Brazil)

  • Paulo de Tarso Nascimento

    (Departamento Stricto Sensu, Universidade SENAI CIMATEC, Salvador 41650-010, Brazil)

  • Celso Barreto da Silva

    (Núcleo de Pesquisa Aplicada e Inovação—NPAI, Salvador 41741-020, Brazil
    Departamento Stricto Sensu, Universidade SENAI CIMATEC, Salvador 41650-010, Brazil)

  • Roberta Mota Panizio

    (Departamento de Tecnologias, Instituto Politécnico de Portalegre—IPP, 7300-110 Portalegre, Portugal
    VALORIZA—Research Centre for Endogenous Resources Valorisation, 7300-110 Portalegre, Portugal)

  • Hugo Saba

    (Núcleo de Pesquisa Aplicada e Inovação—NPAI, Salvador 41741-020, Brazil
    Departamento de Ciências Exatas e da Terra, Universidade do Estado da Bahia—UNEB, Salvador 41180-045, Brazil)

  • Aloísio Santos Nascimento Filho

    (Núcleo de Pesquisa Aplicada e Inovação—NPAI, Salvador 41741-020, Brazil
    Departamento Stricto Sensu, Universidade SENAI CIMATEC, Salvador 41650-010, Brazil)

Abstract

The production of electricity from renewable sources has become a global necessity due to concerns about reducing carbon dioxide (CO 2 ) emissions into Earth’s atmosphere. The use of microgrids has emerged as a potential scenario in this production process, especially with the application of smart technologies integrated into decision making. This article used the PRISMA method to identify the intelligent techniques employed in the context of microgrids from 2015 to 2023, totaling 156 articles. The results indicate progress in the use of artificial neural networks and multi-agent systems in environments of, respectively, predictability and management, and open space for discussions involving the incorporation of new techniques aimed for future implementations.

Suggested Citation

  • Toni Alex Reis Borges & Filipe Cardoso Brito & Rafael Guimarães Oliveira dos Santos & Paulo de Tarso Nascimento & Celso Barreto da Silva & Roberta Mota Panizio & Hugo Saba & Aloísio Santos Nascimento , 2025. "Smart Technologies Applied in Microgrids of Renewable Energy Sources: A Systematic Review," Energies, MDPI, vol. 18(11), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2676-:d:1661687
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