Modeling wind speed with a long-term horizon and high-time interval with a hybrid fourier-neural network model
The limited availability of local climatological stations and the limitations to predict the wind speed (WS) accurately are significant barriers to the expansion of wind energy (WE) projects worldwide. A methodology to forecast accurately the WS at the local scale can be used to overcome these barri...
- Autores:
-
Rueda-Bayona, Juan Gabriel
Cabello Eras, Juan José
Sagastume, Alexis
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8574
- Acceso en línea:
- https://hdl.handle.net/11323/8574
https://doi.org/10.18280/mmep.080313
https://repositorio.cuc.edu.co/
- Palabra clave:
- Fourier analysis
Nonlinear autoregressive network
Wind potential
Reanalysis
Wind-speed
- Rights
- openAccess
- License
- CC0 1.0 Universal