Source: International Journal of Energy Sector Management. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, COMBUSTÍVEIS LÍQUIDOS, LÓGICA FUZZY, MODELOS EM SÉRIES TEMPORAIS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), REDES NEURAIS
ABNT
RODRIGUES, Lucas e RODRIGUES, Luciano e BACCHI, Mirian Rumenos Piedade. Performance evaluation of forecasting models based on time series and machine learning techniques: an application to light fuel consumption in Brazil. International Journal of Energy Sector Management, p. 1-23, 2021Tradução . . Disponível em: https://doi.org/10.1108/IJESM-02-2021-0009. Acesso em: 10 nov. 2024.APA
Rodrigues, L., Rodrigues, L., & Bacchi, M. R. P. (2021). Performance evaluation of forecasting models based on time series and machine learning techniques: an application to light fuel consumption in Brazil. International Journal of Energy Sector Management, 1-23. doi:10.1108/IJESM-02-2021-0009NLM
Rodrigues L, Rodrigues L, Bacchi MRP. Performance evaluation of forecasting models based on time series and machine learning techniques: an application to light fuel consumption in Brazil [Internet]. International Journal of Energy Sector Management. 2021 ; 1-23.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1108/IJESM-02-2021-0009Vancouver
Rodrigues L, Rodrigues L, Bacchi MRP. Performance evaluation of forecasting models based on time series and machine learning techniques: an application to light fuel consumption in Brazil [Internet]. International Journal of Energy Sector Management. 2021 ; 1-23.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1108/IJESM-02-2021-0009