Statistical Comparison of Time Series Models for Forecasting Brazilian Monthly Energy Demand Using Economic, Industrial, and Climatic Exogenous Variables.

MLA

Serrano, André Luiz Marques, et al. “Statistical Comparison of Time Series Models for Forecasting Brazilian Monthly Energy Demand Using Economic, Industrial, and Climatic Exogenous Variables.” Applied Sciences (2076-3417), vol. 14, no. 13, July 2024, p. 5846. EBSCOhost, https://doi.org/10.3390/app14135846.

APA

Serrano, A. L. M., Rodrigues, G. A. P., Martins, P. H. dos S., Saiki, G. M., Filho, G. P. R., Gonçalves, V. P., & Albuquerque, R. de O. (2024). Statistical Comparison of Time Series Models for Forecasting Brazilian Monthly Energy Demand Using Economic, Industrial, and Climatic Exogenous Variables. Applied Sciences (2076-3417), 14(13), 5846. https://doi.org/10.3390/app14135846

Chicago

Serrano, André Luiz Marques, Gabriel Arquelau Pimenta Rodrigues, Patricia Helena dos Santos Martins, Gabriela Mayumi Saiki, Geraldo Pereira Rocha Filho, Vinícius Pereira Gonçalves, and Robson de Oliveira Albuquerque. 2024. “Statistical Comparison of Time Series Models for Forecasting Brazilian Monthly Energy Demand Using Economic, Industrial, and Climatic Exogenous Variables.” Applied Sciences (2076-3417) 14 (13): 5846. doi:10.3390/app14135846.