ReP USP - Resultado da busca

Artigo de periodico
Evolving dynamic bayesian networks for CO2 emissions forecasting in multi-source power generation systems (2023)
Santos, Talysson M. O.; Bessani, Michel; Silva, Ivan Nunes da
Source: IEEE Latin America Transactions. Unidade: EESC
Subjects: GÁS CARBÔNICO, ENERGIA, SUSTENTABILIDADE, GERAÇÃO DE ENERGIA ELÉTRICA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Talysson M. O. e BESSANI, Michel e SILVA, Ivan Nunes da. Evolving dynamic bayesian networks for CO2 emissions forecasting in multi-source power generation systems. IEEE Latin America Transactions, v. 21, n. 9, p. Se 2023, 2023Tradução . . Disponível em: http://dx.doi.org/10.1109/TLA.2023.10251809. Acesso em: 31 out. 2024.
APA
Santos, T. M. O., Bessani, M., & Silva, I. N. da. (2023). Evolving dynamic bayesian networks for CO2 emissions forecasting in multi-source power generation systems. IEEE Latin America Transactions, 21( 9), Se 2023. doi:10.1109/TLA.2023.10251809
NLM
Santos TMO, Bessani M, Silva IN da. Evolving dynamic bayesian networks for CO2 emissions forecasting in multi-source power generation systems [Internet]. IEEE Latin America Transactions. 2023 ; 21( 9): Se 2023.[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/TLA.2023.10251809
Vancouver
Santos TMO, Bessani M, Silva IN da. Evolving dynamic bayesian networks for CO2 emissions forecasting in multi-source power generation systems [Internet]. IEEE Latin America Transactions. 2023 ; 21( 9): Se 2023.[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/TLA.2023.10251809
Artigo de periodico
Bayesian inference approach for information fusion in distribution system state estimation (2022)
Massignan, Julio Augusto Druzina; London Junior, João Bosco Augusto ; Bessani, Michel; Maciel, Carlos Dias ; Fannucchi, Rodrigo Z.; Miranda, Vladimiro
Source: IEEE Transactions on Smart Grid. Unidade: EESC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, INFERÊNCIA BAYESIANA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASSIGNAN, Julio Augusto Druzina et al. Bayesian inference approach for information fusion in distribution system state estimation. IEEE Transactions on Smart Grid, v. 13, n. Ja 2022, p. 526-540, 2022Tradução . . Disponível em: https://doi.org/10.1109/TSG.2021.3128053. Acesso em: 31 out. 2024.
APA
Massignan, J. A. D., London Junior, J. B. A., Bessani, M., Maciel, C. D., Fannucchi, R. Z., & Miranda, V. (2022). Bayesian inference approach for information fusion in distribution system state estimation. IEEE Transactions on Smart Grid, 13( Ja 2022), 526-540. doi:10.1109/TSG.2021.3128053
NLM
Massignan JAD, London Junior JBA, Bessani M, Maciel CD, Fannucchi RZ, Miranda V. Bayesian inference approach for information fusion in distribution system state estimation [Internet]. IEEE Transactions on Smart Grid. 2022 ; 13( Ja 2022): 526-540.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/TSG.2021.3128053
Vancouver
Massignan JAD, London Junior JBA, Bessani M, Maciel CD, Fannucchi RZ, Miranda V. Bayesian inference approach for information fusion in distribution system state estimation [Internet]. IEEE Transactions on Smart Grid. 2022 ; 13( Ja 2022): 526-540.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/TSG.2021.3128053
Artigo de periodico
A variable neighborhood descent approach for electrical grids as an overload reduction method (2021)
Caetano, Henrique de Oliveira; Maciel, Carlos Dias ; Bessani, Michel; Desuó Neto, Luiz
Source: IEEE Latin America Transactions. Unidade: EESC
Subjects: REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, HEURÍSTICA, REDES COMPLEXAS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAETANO, Henrique de Oliveira et al. A variable neighborhood descent approach for electrical grids as an overload reduction method. IEEE Latin America Transactions, v. 19, n. 10, p. 1674-1683, 2021Tradução . . Disponível em: https://doi.org/10.1109/TLA.2021.9477270. Acesso em: 31 out. 2024.
APA
Caetano, H. de O., Maciel, C. D., Bessani, M., & Desuó Neto, L. (2021). A variable neighborhood descent approach for electrical grids as an overload reduction method. IEEE Latin America Transactions, 19( 10), 1674-1683. doi:10.1109/TLA.2021.9477270
NLM
Caetano H de O, Maciel CD, Bessani M, Desuó Neto L. A variable neighborhood descent approach for electrical grids as an overload reduction method [Internet]. IEEE Latin America Transactions. 2021 ; 19( 10): 1674-1683.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/TLA.2021.9477270
Vancouver
Caetano H de O, Maciel CD, Bessani M, Desuó Neto L. A variable neighborhood descent approach for electrical grids as an overload reduction method [Internet]. IEEE Latin America Transactions. 2021 ; 19( 10): 1674-1683.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/TLA.2021.9477270
Trabalho de evento
CO2 emissions forecasting in multi-source power generation systems using dynamic bayesian network (2021)
Santos, Talysson Manoel de Oliveira; Oliveira Júnior, Jordão Natal de; Maciel, Carlos Dias ; Bessani, Michel
Source: Proceedings. Conference titles: IEEE International Systems Conference - SysCon. Unidade: EESC
Subjects: RECURSOS ENERGÉTICOS, SUSTENTABILIDADE, GERAÇÃO DE ENERGIA ELÉTRICA, GÁS CARBÔNICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Talysson Manoel de Oliveira et al. CO2 emissions forecasting in multi-source power generation systems using dynamic bayesian network. 2021, Anais.. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2021. Disponível em: http://dx.doi.org/10.1109/SysCon48628.2021.9447104. Acesso em: 31 out. 2024.
APA
Santos, T. M. de O., Oliveira Júnior, J. N. de, Maciel, C. D., & Bessani, M. (2021). CO2 emissions forecasting in multi-source power generation systems using dynamic bayesian network. In Proceedings. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/SysCon48628.2021.9447104
NLM
Santos TM de O, Oliveira Júnior JN de, Maciel CD, Bessani M. CO2 emissions forecasting in multi-source power generation systems using dynamic bayesian network [Internet]. Proceedings. 2021 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/SysCon48628.2021.9447104
Vancouver
Santos TM de O, Oliveira Júnior JN de, Maciel CD, Bessani M. CO2 emissions forecasting in multi-source power generation systems using dynamic bayesian network [Internet]. Proceedings. 2021 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/SysCon48628.2021.9447104
Artigo de periodico
Enhancing power distribution feeders restoration with a probabilistic crew dispatch method: case studies using historical data from a brazilian power distribution company (2019)
Fanucchi, Rodrigo Zempulski; Bessani, Michel; Camillo, Marcos H. M.; Soares, Anderson da S.; London Junior, João Bosco Augusto; Darwin Junior, Willian; Maciel, Carlos Dias
Source: International Journal of Emerging Electric Power Systems. Unidade: EESC
Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, SISTEMAS ELÉTRICOS DE POTÊNCIA, PROBABILIDADE, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FANUCCHI, Rodrigo Zempulski et al. Enhancing power distribution feeders restoration with a probabilistic crew dispatch method: case studies using historical data from a brazilian power distribution company. International Journal of Emerging Electric Power Systems, v. 20, n. 3, p. 1-18, 2019Tradução . . Disponível em: https://doi.org/10.1515/ijeeps-2018-0334. Acesso em: 31 out. 2024.
APA
Fanucchi, R. Z., Bessani, M., Camillo, M. H. M., Soares, A. da S., London Junior, J. B. A., Darwin Junior, W., & Maciel, C. D. (2019). Enhancing power distribution feeders restoration with a probabilistic crew dispatch method: case studies using historical data from a brazilian power distribution company. International Journal of Emerging Electric Power Systems, 20( 3), 1-18. doi:10.1515/ijeeps-2018-0334
NLM
Fanucchi RZ, Bessani M, Camillo MHM, Soares A da S, London Junior JBA, Darwin Junior W, Maciel CD. Enhancing power distribution feeders restoration with a probabilistic crew dispatch method: case studies using historical data from a brazilian power distribution company [Internet]. International Journal of Emerging Electric Power Systems. 2019 ; 20( 3): 1-18.[citado 2024 out. 31 ] Available from: https://doi.org/10.1515/ijeeps-2018-0334
Vancouver
Fanucchi RZ, Bessani M, Camillo MHM, Soares A da S, London Junior JBA, Darwin Junior W, Maciel CD. Enhancing power distribution feeders restoration with a probabilistic crew dispatch method: case studies using historical data from a brazilian power distribution company [Internet]. International Journal of Emerging Electric Power Systems. 2019 ; 20( 3): 1-18.[citado 2024 out. 31 ] Available from: https://doi.org/10.1515/ijeeps-2018-0334
Artigo de periodico
A Multi-objective swarm intelligence approach for field crews patrol optimization in power distribution systems restoration (2019)
Desuó Neto, Luiz; Bessani, Michel; Fanucchi, Rodrigo Zempulski; Gross, Tadeu Junior; Maciel, Carlos Dias
Source: IEEE Latin America Transactions. Unidade: EESC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ENERGIA ELÉTRICA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DESUÓ NETO, Luiz et al. A Multi-objective swarm intelligence approach for field crews patrol optimization in power distribution systems restoration. IEEE Latin America Transactions, v. 17, n. 2, p. 338-346, 2019Tradução . . Disponível em: https://doi.org/10.1109/TLA.2019.8863181. Acesso em: 31 out. 2024.
APA
Desuó Neto, L., Bessani, M., Fanucchi, R. Z., Gross, T. J., & Maciel, C. D. (2019). A Multi-objective swarm intelligence approach for field crews patrol optimization in power distribution systems restoration. IEEE Latin America Transactions, 17( 2), 338-346. doi:10.1109/TLA.2019.8863181
NLM
Desuó Neto L, Bessani M, Fanucchi RZ, Gross TJ, Maciel CD. A Multi-objective swarm intelligence approach for field crews patrol optimization in power distribution systems restoration [Internet]. IEEE Latin America Transactions. 2019 ; 17( 2): 338-346.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/TLA.2019.8863181
Vancouver
Desuó Neto L, Bessani M, Fanucchi RZ, Gross TJ, Maciel CD. A Multi-objective swarm intelligence approach for field crews patrol optimization in power distribution systems restoration [Internet]. IEEE Latin America Transactions. 2019 ; 17( 2): 338-346.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/TLA.2019.8863181
Artigo de periodico
Probabilistic assessment of power distribution systems resilience under extreme weather (2019)
Bessani, Michel; Massignan, Julio A. D.; Fanucchi, Rodrigo Z.; Camillo, Marcos H. M.; London Junior, João Bosco Augusto; Delbem, Alexandre Cláudio Botazzo ; Maciel, Carlos Dias
Source: IEEE Systems Journal. Unidades: EESC, ICMC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, REDES COMPLEXAS, REDES COMPLEXAS, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, FALHAS COMPUTACIONAIS, CLIMATOLOGIA DINÂMICA, RACIOCÍNIO PROBABILÍSTICO, PROTEÇÃO DE SISTEMAS ELÉTRICOS, PLANEJAMENTO ENERGÉTICO, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BESSANI, Michel et al. Probabilistic assessment of power distribution systems resilience under extreme weather. IEEE Systems Journal, v. 13, n. 2, p. 1747-1756, 2019Tradução . . Disponível em: https://doi.org/10.1109/JSYST.2018.2853554. Acesso em: 31 out. 2024.
APA
Bessani, M., Massignan, J. A. D., Fanucchi, R. Z., Camillo, M. H. M., London Junior, J. B. A., Delbem, A. C. B., & Maciel, C. D. (2019). Probabilistic assessment of power distribution systems resilience under extreme weather. IEEE Systems Journal, 13( 2), 1747-1756. doi:10.1109/JSYST.2018.2853554
NLM
Bessani M, Massignan JAD, Fanucchi RZ, Camillo MHM, London Junior JBA, Delbem ACB, Maciel CD. Probabilistic assessment of power distribution systems resilience under extreme weather [Internet]. IEEE Systems Journal. 2019 ; 13( 2): 1747-1756.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/JSYST.2018.2853554
Vancouver
Bessani M, Massignan JAD, Fanucchi RZ, Camillo MHM, London Junior JBA, Delbem ACB, Maciel CD. Probabilistic assessment of power distribution systems resilience under extreme weather [Internet]. IEEE Systems Journal. 2019 ; 13( 2): 1747-1756.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/JSYST.2018.2853554
Artigo de periodico
Resilience assessment of self-healing systems with redundancy (2019)
Ribeiro, Rafael Rodrigues Mendes ; Bessani, Michel; Fogliatto, Matheus de Souza Sant'Anna ; Maciel, Carlos Dias
Source: IEEE Latin America Transactions. Unidade: EESC
Subjects: REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, FALHA, CAPACITORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Rafael Rodrigues Mendes et al. Resilience assessment of self-healing systems with redundancy. IEEE Latin America Transactions, v. 17, n. 9, p. 1546 - 1551, 2019Tradução . . Disponível em: http://dx.doi.org/10.1109/TLA.2019.8931189. Acesso em: 31 out. 2024.
APA
Ribeiro, R. R. M., Bessani, M., Fogliatto, M. de S. S. 'A., & Maciel, C. D. (2019). Resilience assessment of self-healing systems with redundancy. IEEE Latin America Transactions, 17( 9), 1546 - 1551. doi:10.1109/TLA.2019.8931189
NLM
Ribeiro RRM, Bessani M, Fogliatto M de SS'A, Maciel CD. Resilience assessment of self-healing systems with redundancy [Internet]. IEEE Latin America Transactions. 2019 ; 17( 9): 1546 - 1551.[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/TLA.2019.8931189
Vancouver
Ribeiro RRM, Bessani M, Fogliatto M de SS'A, Maciel CD. Resilience assessment of self-healing systems with redundancy [Internet]. IEEE Latin America Transactions. 2019 ; 17( 9): 1546 - 1551.[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/TLA.2019.8931189
Trabalho de evento
PMUs and SCADA measurements in power system state estimation through bayesian inference (2019)
Massignan, Julio Augusto Druzina; London Junior, João Bosco Augusto; Maciel, Carlos Dias; Bessani, Michel; Miranda, Vladimiro
Conference titles: IEEE PowerTech Conference. Unidade: EESC
Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, INFERÊNCIA BAYESIANA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASSIGNAN, Julio Augusto Druzina et al. PMUs and SCADA measurements in power system state estimation through bayesian inference. 2019, Anais.. Piscataway, NJ, USA: IEEE, 2019. Disponível em: https://doi.org/10.1109/PTC.2019.8810750. Acesso em: 31 out. 2024.
APA
Massignan, J. A. D., London Junior, J. B. A., Maciel, C. D., Bessani, M., & Miranda, V. (2019). PMUs and SCADA measurements in power system state estimation through bayesian inference. In . Piscataway, NJ, USA: IEEE. doi:10.1109/PTC.2019.8810750
NLM
Massignan JAD, London Junior JBA, Maciel CD, Bessani M, Miranda V. PMUs and SCADA measurements in power system state estimation through bayesian inference [Internet]. 2019 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/PTC.2019.8810750
Vancouver
Massignan JAD, London Junior JBA, Maciel CD, Bessani M, Miranda V. PMUs and SCADA measurements in power system state estimation through bayesian inference [Internet]. 2019 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/PTC.2019.8810750
Artigo de periodico
Stochastic indexes for power distribution systems resilience analysis (2019)
Fanucchi, Rodrigo Zempulski; Bessani, Michel; Camillo, Marcos H. M; Soares, Anderson da Silva ; London Junior, João Bosco Augusto ; Desuó, Luiz; Maciel, Carlos Dias
Source: IET Generation, Transmission & Distribution. Unidade: EESC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, PROCESSOS ESTOCÁSTICOS, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FANUCCHI, Rodrigo Zempulski et al. Stochastic indexes for power distribution systems resilience analysis. IET Generation, Transmission & Distribution, v. 13, n. 12, p. 2507-2516, 2019Tradução . . Disponível em: http://dx.doi.org/10.1049/iet-gtd.2018.6667. Acesso em: 31 out. 2024.
APA
Fanucchi, R. Z., Bessani, M., Camillo, M. H. M., Soares, A. da S., London Junior, J. B. A., Desuó, L., & Maciel, C. D. (2019). Stochastic indexes for power distribution systems resilience analysis. IET Generation, Transmission & Distribution, 13( 12), 2507-2516. doi:10.1049/iet-gtd.2018.6667
NLM
Fanucchi RZ, Bessani M, Camillo MHM, Soares A da S, London Junior JBA, Desuó L, Maciel CD. Stochastic indexes for power distribution systems resilience analysis [Internet]. IET Generation, Transmission & Distribution. 2019 ; 13( 12): 2507-2516.[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1049/iet-gtd.2018.6667
Vancouver
Fanucchi RZ, Bessani M, Camillo MHM, Soares A da S, London Junior JBA, Desuó L, Maciel CD. Stochastic indexes for power distribution systems resilience analysis [Internet]. IET Generation, Transmission & Distribution. 2019 ; 13( 12): 2507-2516.[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1049/iet-gtd.2018.6667
Artigo de periodico
In-field validation of a real-time monitoring tool for distribution feeders (2018)
Massignan, Julio Augusto Druzina; London Junior, João Bosco Augusto; Bessani, Michel; Maciel, Carlos Dias; Delbem, Alexandre Cláudio Botazzo ; Camillo, Marcos Henrique Marçal; Soares, Telma Woerle de Lima
Source: IEEE Transactions on Power Delivery. Unidades: EESC, ICMC
Subjects: TEMPO-REAL, CARGA ELÉTRICA, ENGENHARIA ELÉTRICA, MEDIDAS, CARGA, TEMPO, ENERGIA, TEMPO-REAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASSIGNAN, Julio Augusto Druzina et al. In-field validation of a real-time monitoring tool for distribution feeders. IEEE Transactions on Power Delivery, v. 33, n. 4, p. 1798-1808, 2018Tradução . . Disponível em: https://doi.org/10.1109/TPWRD.2017.2785044. Acesso em: 31 out. 2024.
APA
Massignan, J. A. D., London Junior, J. B. A., Bessani, M., Maciel, C. D., Delbem, A. C. B., Camillo, M. H. M., & Soares, T. W. de L. (2018). In-field validation of a real-time monitoring tool for distribution feeders. IEEE Transactions on Power Delivery, 33( 4), 1798-1808. doi:10.1109/TPWRD.2017.2785044
NLM
Massignan JAD, London Junior JBA, Bessani M, Maciel CD, Delbem ACB, Camillo MHM, Soares TW de L. In-field validation of a real-time monitoring tool for distribution feeders [Internet]. IEEE Transactions on Power Delivery. 2018 ; 33( 4): 1798-1808.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/TPWRD.2017.2785044
Vancouver
Massignan JAD, London Junior JBA, Bessani M, Maciel CD, Delbem ACB, Camillo MHM, Soares TW de L. In-field validation of a real-time monitoring tool for distribution feeders [Internet]. IEEE Transactions on Power Delivery. 2018 ; 33( 4): 1798-1808.[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/TPWRD.2017.2785044
Trabalho de evento
Robustness of reconfigurable complex systems by a multi-agent simulation: application on power distribution systems (2018)
Bessani, Michel; Ribeiro, Rafael Rodrigues Mendes ; Pagani, Giuliano A.; Aiello, Marco; Maciel, Carlos Dias
Source: Proceedings. Conference titles: Annual IEEE International Systems Conference- SysCon. Unidade: EESC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ROBUSTEZ, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BESSANI, Michel et al. Robustness of reconfigurable complex systems by a multi-agent simulation: application on power distribution systems. 2018, Anais.. Piscataway, NJ: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: http://dx.doi.org/10.1109/SYSCON.2018.8369553. Acesso em: 31 out. 2024.
APA
Bessani, M., Ribeiro, R. R. M., Pagani, G. A., Aiello, M., & Maciel, C. D. (2018). Robustness of reconfigurable complex systems by a multi-agent simulation: application on power distribution systems. In Proceedings. Piscataway, NJ: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/SYSCON.2018.8369553
NLM
Bessani M, Ribeiro RRM, Pagani GA, Aiello M, Maciel CD. Robustness of reconfigurable complex systems by a multi-agent simulation: application on power distribution systems [Internet]. Proceedings. 2018 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/SYSCON.2018.8369553
Vancouver
Bessani M, Ribeiro RRM, Pagani GA, Aiello M, Maciel CD. Robustness of reconfigurable complex systems by a multi-agent simulation: application on power distribution systems [Internet]. Proceedings. 2018 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/SYSCON.2018.8369553
Trabalho de evento
A hierarchical framework for complex networks robustness analysis to errors (2017)
Bessani, Michel; Massignan, Júlio A. D; London Junior, João Bosco Augusto ; Maciel, Carlos Dias ; Fanucchi, Rodrigo Zempulski; Camillo, Marcos H. M
Source: Proceedings. Conference titles: IEEE International Systems Conference - SysCon. Unidade: EESC
Subjects: SISTEMAS ELÉTRICOS, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ROBUSTEZ, FALHA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BESSANI, Michel et al. A hierarchical framework for complex networks robustness analysis to errors. 2017, Anais.. Piscataway, NJ: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2017. Disponível em: http://dx.doi.org/10.1109/SYSCON.2017.7934812. Acesso em: 31 out. 2024.
APA
Bessani, M., Massignan, J. A. D., London Junior, J. B. A., Maciel, C. D., Fanucchi, R. Z., & Camillo, M. H. M. (2017). A hierarchical framework for complex networks robustness analysis to errors. In Proceedings. Piscataway, NJ: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/SYSCON.2017.7934812
NLM
Bessani M, Massignan JAD, London Junior JBA, Maciel CD, Fanucchi RZ, Camillo MHM. A hierarchical framework for complex networks robustness analysis to errors [Internet]. Proceedings. 2017 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/SYSCON.2017.7934812
Vancouver
Bessani M, Massignan JAD, London Junior JBA, Maciel CD, Fanucchi RZ, Camillo MHM. A hierarchical framework for complex networks robustness analysis to errors [Internet]. Proceedings. 2017 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/SYSCON.2017.7934812
Trabalho de evento
Modeling issues on load flow calculation for meshed distribution systems (2017)
Massignan, Júlio A. D; Hebling, Gustavo Miranda; Marques, Leandro Tolomeu; Bessani, Michel; Maciel, Carlos Dias ; London Junior, João Bosco Augusto ; Camillo, Marcos H. M
Source: Proceedings. Conference titles: IEEE Manchester PowerTech. Unidade: EESC
Assunto: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASSIGNAN, Júlio A. D et al. Modeling issues on load flow calculation for meshed distribution systems. 2017, Anais.. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2017. Disponível em: http://dx.doi.org/10.1109/PTC.2017.7981154. Acesso em: 31 out. 2024.
APA
Massignan, J. A. D., Hebling, G. M., Marques, L. T., Bessani, M., Maciel, C. D., London Junior, J. B. A., & Camillo, M. H. M. (2017). Modeling issues on load flow calculation for meshed distribution systems. In Proceedings. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/PTC.2017.7981154
NLM
Massignan JAD, Hebling GM, Marques LT, Bessani M, Maciel CD, London Junior JBA, Camillo MHM. Modeling issues on load flow calculation for meshed distribution systems [Internet]. Proceedings. 2017 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/PTC.2017.7981154
Vancouver
Massignan JAD, Hebling GM, Marques LT, Bessani M, Maciel CD, London Junior JBA, Camillo MHM. Modeling issues on load flow calculation for meshed distribution systems [Internet]. Proceedings. 2017 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/PTC.2017.7981154
Trabalho de evento
Failure rate prediction under adverse weather conditions in an electric distribution system using negative binomial regression (2016)
Fanucchi, Rodrigo Zempulski; Bessani, Michel; Camillo, Marcos H. M; London Junior, João Bosco Augusto ; Maciel, Carlos Dias
Source: Proceedings. Conference titles: International Conference on Harmonics and Quality of Power - ICHQP. Unidade: EESC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, MUDANÇA CLIMÁTICA, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FANUCCHI, Rodrigo Zempulski et al. Failure rate prediction under adverse weather conditions in an electric distribution system using negative binomial regression. 2016, Anais.. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2016. Disponível em: http://dx.doi.org/10.1109/ICHQP.2016.7783464. Acesso em: 31 out. 2024.
APA
Fanucchi, R. Z., Bessani, M., Camillo, M. H. M., London Junior, J. B. A., & Maciel, C. D. (2016). Failure rate prediction under adverse weather conditions in an electric distribution system using negative binomial regression. In Proceedings. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/ICHQP.2016.7783464
NLM
Fanucchi RZ, Bessani M, Camillo MHM, London Junior JBA, Maciel CD. Failure rate prediction under adverse weather conditions in an electric distribution system using negative binomial regression [Internet]. Proceedings. 2016 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/ICHQP.2016.7783464
Vancouver
Fanucchi RZ, Bessani M, Camillo MHM, London Junior JBA, Maciel CD. Failure rate prediction under adverse weather conditions in an electric distribution system using negative binomial regression [Internet]. Proceedings. 2016 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/ICHQP.2016.7783464
Trabalho de evento
A statistical analysis and modeling of repair data from a brazilian power distribution system (2016)
Bessani, Michel; Fanucchi, Rodrigo Zempulski; Achcar, Jorge Alberto ; Maciel, Carlos Dias
Source: Proceedings. Conference titles: International Conference on Harmonics and Quality of Power - ICHQP. Unidades: EESC, FMRP
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, MODELAGEM DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BESSANI, Michel et al. A statistical analysis and modeling of repair data from a brazilian power distribution system. 2016, Anais.. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2016. Disponível em: http://dx.doi.org/10.1109/ICHQP.2016.7783446. Acesso em: 31 out. 2024.
APA
Bessani, M., Fanucchi, R. Z., Achcar, J. A., & Maciel, C. D. (2016). A statistical analysis and modeling of repair data from a brazilian power distribution system. In Proceedings. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/ICHQP.2016.7783446
NLM
Bessani M, Fanucchi RZ, Achcar JA, Maciel CD. A statistical analysis and modeling of repair data from a brazilian power distribution system [Internet]. Proceedings. 2016 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/ICHQP.2016.7783446
Vancouver
Bessani M, Fanucchi RZ, Achcar JA, Maciel CD. A statistical analysis and modeling of repair data from a brazilian power distribution system [Internet]. Proceedings. 2016 ;[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1109/ICHQP.2016.7783446
Trabalho de evento-anais periodico
Unsupervised clustering analyses of features extraction for a caries computer-assisted diagnosis using dental fluorescence images (2014)
Bessani, Michel; Costa, Mardoqueu Martins da; Lins, Emery Cleiton Cabral Correia; Maciel, Carlos Dias
Source: Proceedings of SPIE. Conference titles: Multimodal Biomedical Imaging. Unidade: EESC
Subjects: CÁRIE DENTÁRIA, FLUORESCÊNCIA, DIAGNÓSTICO POR COMPUTADOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BESSANI, Michel et al. Unsupervised clustering analyses of features extraction for a caries computer-assisted diagnosis using dental fluorescence images. Proceedings of SPIE. Bellingham: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1117/12.2038633. Acesso em: 31 out. 2024. , 2014
APA
Bessani, M., Costa, M. M. da, Lins, E. C. C. C., & Maciel, C. D. (2014). Unsupervised clustering analyses of features extraction for a caries computer-assisted diagnosis using dental fluorescence images. Proceedings of SPIE. Bellingham: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1117/12.2038633
NLM
Bessani M, Costa MM da, Lins ECCC, Maciel CD. Unsupervised clustering analyses of features extraction for a caries computer-assisted diagnosis using dental fluorescence images [Internet]. Proceedings of SPIE. 2014 ; 8937 89370U [ 1-9].[citado 2024 out. 31 ] Available from: https://doi.org/10.1117/12.2038633
Vancouver
Bessani M, Costa MM da, Lins ECCC, Maciel CD. Unsupervised clustering analyses of features extraction for a caries computer-assisted diagnosis using dental fluorescence images [Internet]. Proceedings of SPIE. 2014 ; 8937 89370U [ 1-9].[citado 2024 out. 31 ] Available from: https://doi.org/10.1117/12.2038633

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Date published

Subjects

Source title

Conference titles

Funding Agencies

Indexado em

Non normalized affiliation