Filtros : "Suiça" "2021" "Energies" Removido: "IFSC" Limpar

Filtros



Refine with date range


  • 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: 16 jul. 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 jul. 16 ] 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 jul. 16 ] Available from: https://doi.org/10.3390/en14061515
  • Source: Energies. Unidade: EESC

    Subjects: FILTROS DE KALMAN, SISTEMAS ELÉTRICOS DE POTÊNCIA, ENGENHARIA ELÉTRICA

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

      BRETAS, Arturo Suman et al. Hybrid physics-based adaptive Kalman filter state estimation framework. Energies, v. 14, n. 20, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14206787. Acesso em: 16 jul. 2024.
    • APA

      Bretas, A. S., Bretas, N. G., Massignan, J. A. D., & London Junior, J. B. A. (2021). Hybrid physics-based adaptive Kalman filter state estimation framework. Energies, 14( 20), 1-17. doi:10.3390/en14206787
    • NLM

      Bretas AS, Bretas NG, Massignan JAD, London Junior JBA. Hybrid physics-based adaptive Kalman filter state estimation framework [Internet]. Energies. 2021 ; 14( 20): 1-17.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14206787
    • Vancouver

      Bretas AS, Bretas NG, Massignan JAD, London Junior JBA. Hybrid physics-based adaptive Kalman filter state estimation framework [Internet]. Energies. 2021 ; 14( 20): 1-17.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14206787
  • Source: Energies. Unidade: BIOENERGIA

    Subjects: AQUECIMENTO, BIOMASSA, CALOR, DEMANDA ENERGÉTICA

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

      KEINER, Dominik et al. Global-Local Heat Demand Development for the Energy Transition Time Frame Up to 2050. Energies, v. 14, p. 1-51, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14133814. Acesso em: 16 jul. 2024.
    • APA

      Keiner, D., Barbosa, L. de S. N. S., Bogdanov, D., Aghahosseini, A., Gulagi, A., Oyewo, S., et al. (2021). Global-Local Heat Demand Development for the Energy Transition Time Frame Up to 2050. Energies, 14, 1-51. doi:10.3390/en14133814
    • NLM

      Keiner D, Barbosa L de SNS, Bogdanov D, Aghahosseini A, Gulagi A, Oyewo S, Child M, Khalili S, Breyer C. Global-Local Heat Demand Development for the Energy Transition Time Frame Up to 2050 [Internet]. Energies. 2021 ; 14 1-51.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14133814
    • Vancouver

      Keiner D, Barbosa L de SNS, Bogdanov D, Aghahosseini A, Gulagi A, Oyewo S, Child M, Khalili S, Breyer C. Global-Local Heat Demand Development for the Energy Transition Time Frame Up to 2050 [Internet]. Energies. 2021 ; 14 1-51.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14133814
  • Source: Energies. Unidade: EP

    Subjects: CONSUMO DE ENERGIA ELÉTRICA, REDES DE COMPUTADORES

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

      NÚÑEZ SEGURA, Gustavo Alonso e MARGI, Cíntia Borges. Centralized energy prediction in wireless sensor networks leveraged by software-defined networking. Energies, v. 14, n. 17, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14175379. Acesso em: 16 jul. 2024.
    • APA

      Núñez Segura, G. A., & Margi, C. B. (2021). Centralized energy prediction in wireless sensor networks leveraged by software-defined networking. Energies, 14( 17), 1-18. doi:10.3390/en14175379
    • NLM

      Núñez Segura GA, Margi CB. Centralized energy prediction in wireless sensor networks leveraged by software-defined networking [Internet]. Energies. 2021 ; 14( 17): 1-18.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14175379
    • Vancouver

      Núñez Segura GA, Margi CB. Centralized energy prediction in wireless sensor networks leveraged by software-defined networking [Internet]. Energies. 2021 ; 14( 17): 1-18.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14175379
  • 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: 16 jul. 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 jul. 16 ] 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 jul. 16 ] Available from: https://doi.org/10.3390/en14170000
  • Source: Energies. Unidades: EP, IEE, IME

    Subjects: CONSUMO DE ENERGIA ELÉTRICA, EDIFÍCIOS DE SAÚDE, HOSPITAIS PÚBLICOS, AVALIAÇÃO DE DESEMPENHO

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

      SILVA, Pedro Paulo Fernandes da e HERNANDEZ NETO, Alberto e SAUER, Ildo Luís. Valuation of model calibration method for simulation performance of public hospital in Brazil. Energies, v. 14, n. 13, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14133791. Acesso em: 16 jul. 2024.
    • APA

      Silva, P. P. F. da, Hernandez Neto, A., & Sauer, I. L. (2021). Valuation of model calibration method for simulation performance of public hospital in Brazil. Energies, 14( 13), 1-20. doi:10.3390/en14133791
    • NLM

      Silva PPF da, Hernandez Neto A, Sauer IL. Valuation of model calibration method for simulation performance of public hospital in Brazil [Internet]. Energies. 2021 ; 14( 13): 1-20.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14133791
    • Vancouver

      Silva PPF da, Hernandez Neto A, Sauer IL. Valuation of model calibration method for simulation performance of public hospital in Brazil [Internet]. Energies. 2021 ; 14( 13): 1-20.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14133791
  • Source: Energies. Unidade: IEE

    Assunto: EFICIÊNCIA ENERGÉTICA

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

      SOUZA, Danilo Ferreira de et al. Energy Efficiency Indicators for Water Pumping Systems in Multifamily Buildings. Energies, v. No2021, n. 21, p. art.7152/1-13, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14217152. Acesso em: 16 jul. 2024.
    • APA

      Souza, D. F. de, Guarda, E. L. A. da, Sauer, I. L., & Tatizawa, H. (2021). Energy Efficiency Indicators for Water Pumping Systems in Multifamily Buildings. Energies, No2021( 21), art.7152/1-13. doi:10.3390/en14217152
    • NLM

      Souza DF de, Guarda ELA da, Sauer IL, Tatizawa H. Energy Efficiency Indicators for Water Pumping Systems in Multifamily Buildings [Internet]. Energies. 2021 ; No2021( 21): art.7152/1-13.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14217152
    • Vancouver

      Souza DF de, Guarda ELA da, Sauer IL, Tatizawa H. Energy Efficiency Indicators for Water Pumping Systems in Multifamily Buildings [Internet]. Energies. 2021 ; No2021( 21): art.7152/1-13.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14217152
  • Source: Energies. Unidades: EP, IF

    Subjects: NANOTECNOLOGIA, PROCESSOS DE SEPARAÇÃO, NANOTUBOS DE CARBONO, MATERIAIS NANOESTRUTURADOS

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

      RAZMARA, Naiyer et al. Efficient CH4/CO2 gas mixture separation through nanoporous graphene membrane designs. Energies, v. 14, n. 9, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14092488. Acesso em: 16 jul. 2024.
    • APA

      Razmara, N., Kirch, A., Meneghini, J. R., & Miranda, C. R. (2021). Efficient CH4/CO2 gas mixture separation through nanoporous graphene membrane designs. Energies, 14( 9), 1-16. doi:10.3390/en14092488
    • NLM

      Razmara N, Kirch A, Meneghini JR, Miranda CR. Efficient CH4/CO2 gas mixture separation through nanoporous graphene membrane designs [Internet]. Energies. 2021 ; 14( 9): 1-16.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14092488
    • Vancouver

      Razmara N, Kirch A, Meneghini JR, Miranda CR. Efficient CH4/CO2 gas mixture separation through nanoporous graphene membrane designs [Internet]. Energies. 2021 ; 14( 9): 1-16.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14092488
  • Source: Energies. Unidade: EP

    Subjects: PLANEJAMENTO ENERGÉTICO, ANÁLISE DE RISCO, PROCESSOS ESTOCÁSTICOS, OTIMIZAÇÃO ESTOCÁSTICA

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

      LEONEL, Lais Domingues et al. Financial risk control of hydro generation systems through market intelligence and stochastic optimization. Energies, v. 14, n. 19, p. 18 on-line, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14196368. Acesso em: 16 jul. 2024.
    • APA

      Leonel, L. D., Balan, M. H., Ramos, D. S., Rego, E. E., & Mello, R. F. de. (2021). Financial risk control of hydro generation systems through market intelligence and stochastic optimization. Energies, 14( 19), 18 on-line. doi:10.3390/en14196368
    • NLM

      Leonel LD, Balan MH, Ramos DS, Rego EE, Mello RF de. Financial risk control of hydro generation systems through market intelligence and stochastic optimization [Internet]. Energies. 2021 ; 14( 19): 18 on-line.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14196368
    • Vancouver

      Leonel LD, Balan MH, Ramos DS, Rego EE, Mello RF de. Financial risk control of hydro generation systems through market intelligence and stochastic optimization [Internet]. Energies. 2021 ; 14( 19): 18 on-line.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/en14196368

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024