Source: Proceedings. Conference titles: IEEE International Systems Conference - SysCon. Unidade: EESC
Subjects: RECURSOS ENERGÉTICOS, SUSTENTABILIDADE, GERAÇÃO DE ENERGIA ELÉTRICA, GÁS CARBÔNICO
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: 14 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/SysCon48628.2021.9447104NLM
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. 14 ] Available from: http://dx.doi.org/10.1109/SysCon48628.2021.9447104Vancouver
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. 14 ] Available from: http://dx.doi.org/10.1109/SysCon48628.2021.9447104