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  • Source: Energies. Unidade: EP

    Subjects: TELECOMUNICAÇÕES, ENERGIA SOLAR

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SILVA, Vinícius Oliveira da et al. A long-term analysis of the architecture and operation of water film cooling system for commercial PV modules. Energies, v. 14, p. 1-29, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14061515. Acesso em: 28 set. 2024.
    • APA

      Silva, V. O. da, Martinez Bolaños, J. R., Heideier, R. B., Bernal, J. L. de O., Gimenes, A. L. V., Udaeta, M. E. M., & Saidel, M. A. (2021). A long-term analysis of the architecture and operation of water film cooling system for commercial PV modules. Energies, 14, 1-29. doi:10.3390/en14061515
    • NLM

      Silva VO da, Martinez Bolaños JR, Heideier RB, Bernal JL de O, Gimenes ALV, Udaeta MEM, Saidel MA. A long-term analysis of the architecture and operation of water film cooling system for commercial PV modules [Internet]. Energies. 2021 ;14 1-29.[citado 2024 set. 28 ] Available from: https://doi.org/10.3390/en14061515
    • Vancouver

      Silva VO da, Martinez Bolaños JR, Heideier RB, Bernal JL de O, Gimenes ALV, Udaeta MEM, Saidel MA. A long-term analysis of the architecture and operation of water film cooling system for commercial PV modules [Internet]. Energies. 2021 ;14 1-29.[citado 2024 set. 28 ] Available from: https://doi.org/10.3390/en14061515
  • Source: Energies. Unidade: EP

    Subjects: ENERGIA SOLAR, REDES NEURAIS

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      VISCONDI, Gabriel de Freitas e SOUZA, Solange Nice Alves de. Solar irradiance prediction with machine learning algorithms: a brazilian case study on photovoltaic electricity generation. Energies, v. 14, n. 18, p. 1-15, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14170000. Acesso em: 28 set. 2024.
    • APA

      Viscondi, G. de F., & Souza, S. N. A. de. (2021). Solar irradiance prediction with machine learning algorithms: a brazilian case study on photovoltaic electricity generation. Energies, 14( 18), 1-15. doi:10.3390/en14170000
    • NLM

      Viscondi G de F, Souza SNA de. Solar irradiance prediction with machine learning algorithms: a brazilian case study on photovoltaic electricity generation [Internet]. Energies. 2021 ; 14( 18): 1-15.[citado 2024 set. 28 ] Available from: https://doi.org/10.3390/en14170000
    • Vancouver

      Viscondi G de F, Souza SNA de. Solar irradiance prediction with machine learning algorithms: a brazilian case study on photovoltaic electricity generation [Internet]. Energies. 2021 ; 14( 18): 1-15.[citado 2024 set. 28 ] Available from: https://doi.org/10.3390/en14170000
  • Source: Energies. Unidade: EP

    Subjects: ENERGIA SOLAR, SISTEMAS FOTOVOLTAICOS, SISTEMAS ELÉTRICOS DE POTÊNCIA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      LOURENÇO, Luís Felipe Normandia et al. Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation. Energies, v. 11, n. 6, p. 1567, 2018Tradução . . Disponível em: https://doi.org/10.3390/en11061567. Acesso em: 28 set. 2024.
    • APA

      Lourenço, L. F. N., Monaro, R. M., Salles, M. B. de C., Cardoso, J. R., & Queval, L. (2018). Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation. Energies, 11( 6), 1567. doi:10.3390/en11061567
    • NLM

      Lourenço LFN, Monaro RM, Salles MB de C, Cardoso JR, Queval L. Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation [Internet]. Energies. 2018 ; 11( 6): 1567.[citado 2024 set. 28 ] Available from: https://doi.org/10.3390/en11061567
    • Vancouver

      Lourenço LFN, Monaro RM, Salles MB de C, Cardoso JR, Queval L. Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation [Internet]. Energies. 2018 ; 11( 6): 1567.[citado 2024 set. 28 ] Available from: https://doi.org/10.3390/en11061567

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