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...

Full description

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/