Time series decomposition using automatic learning techniques for predictive models
This paper proposes an innovative way to address real cases of production prediction. This approach consists in the decomposition of original time series into time sub-series according to a group of factors in order to generate a predictive model from the partial predictive models of the sub-series....
- Autores:
-
Silva, Jesús
H, H
Niebles Núñez, William
Ovallos-Gazabon, David
Varela, Noel
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6237
- Acceso en línea:
- https://hdl.handle.net/11323/6237
https://repositorio.cuc.edu.co/
- Palabra clave:
- Automatic learning
Predictive models
Production prediction
- Rights
- openAccess
- License
- CC0 1.0 Universal