Time series forecasting based on ensemble learning methods applied to agribusiness, epidemiology, energy demand, and renewable energy
Time series forecasting and analysis are helpful in the decision-making process. However, exogenous factors, nonlinearities, and seasonality make developing efficient forecasting models challenging. In this context, the use of machine learning approaches, especially ensemble learning models, becomes...
| Autor principal: | Ribeiro, Matheus Henrique Dal Molin |
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| Formato: | Tese |
| Idioma: | Inglês |
| Publicado em: |
Pontifícia Universidade Católica do Paraná
2022
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/28866 |
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