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...

Full description

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