Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series (2021)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SILVESTRE, GABRIEL DALFORNO - ICMC ; SANTOS, MOISÉS ROCHA DOS - ICMC
- Unidade: ICMC
- DOI: 10.1109/IJCNN52387.2021.9533644
- Subjects: APRENDIZADO COMPUTACIONAL; PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
- Keywords: Time series forecasting; Hybrid model
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2021
- Source:
- Título: Proceedings
- Conference titles: International Joint Conference on Neural Networks - IJCNN
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVESTRE, Gabriel Dalforno e SANTOS, Moises Rocha dos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/IJCNN52387.2021.9533644. Acesso em: 27 dez. 2025. -
APA
Silvestre, G. D., Santos, M. R. dos, & Carvalho, A. C. P. de L. F. de. (2021). Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN52387.2021.9533644 -
NLM
Silvestre GD, Santos MR dos, Carvalho ACP de LF de. Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series [Internet]. Proceedings. 2021 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/IJCNN52387.2021.9533644 -
Vancouver
Silvestre GD, Santos MR dos, Carvalho ACP de LF de. Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series [Internet]. Proceedings. 2021 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/IJCNN52387.2021.9533644 - Hybrid forecasting combinations by feature based metalearning
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Informações sobre o DOI: 10.1109/IJCNN52387.2021.9533644 (Fonte: oaDOI API)
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