Frausto SolÃs, J.; Estrada-Patiño, E.; Ponce Flores, M.; Sánchez-Hernández, J.P.; Castilla-Valdez, G.; González-Barbosa, J.
TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change. Math. Comput. Appl. 2025, 30, 46.
https://doi.org/10.3390/mca30030046
AMA Style
Frausto SolÃs J, Estrada-Patiño E, Ponce Flores M, Sánchez-Hernández JP, Castilla-Valdez G, González-Barbosa J.
TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change. Mathematical and Computational Applications. 2025; 30(3):46.
https://doi.org/10.3390/mca30030046
Chicago/Turabian Style
Frausto SolÃs, Juan, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, and Javier González-Barbosa.
2025. "TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change" Mathematical and Computational Applications 30, no. 3: 46.
https://doi.org/10.3390/mca30030046
APA Style
Frausto SolÃs, J., Estrada-Patiño, E., Ponce Flores, M., Sánchez-Hernández, J. P., Castilla-Valdez, G., & González-Barbosa, J.
(2025). TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change. Mathematical and Computational Applications, 30(3), 46.
https://doi.org/10.3390/mca30030046
