Wind missing data arrangement using wavelet based techniques for getting maximum likelihood
Long time series of wind data can have data gaps that may lead to errors in the subsequent analyses of the time series. This study proposes using the wavelet transform as a system to verify that a data completion technique is correct and that the data series behaves correctly, enabling the user to i...
- Autores:
-
Zapata-Sierra, Antonio Jesús
Cama-Pinto, Alejandro
Montoya, Francisco Gil
Alcayde, Alfredo
Manzano-Agugliaro, Francisco
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/4586
- Acceso en línea:
- https://hdl.handle.net/11323/4586
https://repositorio.cuc.edu.co/
- Palabra clave:
- Wind data
Wavelet transform
FFT
Missing data
Renewable energy
Data filling
Datos del viento
Transformada de wavelet
FFT
Datos perdidos
Energía renovable
Relleno de datos
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-sa/4.0/