Torres, F.L.R.; Lima, L.M.M.; Reboita, M.S.; de Queiroz, A.R.; Lima, J.W.M.
Integrating Hydrological and Machine Learning Models for Enhanced Streamflow Forecasting via Bayesian Model Averaging in a Hydro-Dominant Power System. Water 2024, 16, 586.
https://doi.org/10.3390/w16040586
AMA Style
Torres FLR, Lima LMM, Reboita MS, de Queiroz AR, Lima JWM.
Integrating Hydrological and Machine Learning Models for Enhanced Streamflow Forecasting via Bayesian Model Averaging in a Hydro-Dominant Power System. Water. 2024; 16(4):586.
https://doi.org/10.3390/w16040586
Chicago/Turabian Style
Torres, Francisca Lanai Ribeiro, Luana Medeiros Marangon Lima, Michelle Simões Reboita, Anderson Rodrigo de Queiroz, and José Wanderley Marangon Lima.
2024. "Integrating Hydrological and Machine Learning Models for Enhanced Streamflow Forecasting via Bayesian Model Averaging in a Hydro-Dominant Power System" Water 16, no. 4: 586.
https://doi.org/10.3390/w16040586
APA Style
Torres, F. L. R., Lima, L. M. M., Reboita, M. S., de Queiroz, A. R., & Lima, J. W. M.
(2024). Integrating Hydrological and Machine Learning Models for Enhanced Streamflow Forecasting via Bayesian Model Averaging in a Hydro-Dominant Power System. Water, 16(4), 586.
https://doi.org/10.3390/w16040586
