Source: IEEE Latin America Transactions. Unidade: EESC
Subjects: GÁS CARBÔNICO, ENERGIA, SUSTENTABILIDADE, GERAÇÃO DE ENERGIA ELÉTRICA, ENGENHARIA ELÉTRICA
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: 10 nov. 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.2023.10251809NLM
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 nov. 10 ] Available from: http://dx.doi.org/10.1109/TLA.2023.10251809Vancouver
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 nov. 10 ] Available from: http://dx.doi.org/10.1109/TLA.2023.10251809