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...

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Hlavní autoři: Zapata Sierra, Antonio Jesús, Cama Pinto, Alejandro, Gil Montoya, Francisco, Alcayde García, Alfredo, Manzano Agugliaro, Francisco Rogelio
Médium: info:eu-repo/semantics/article
Jazyk:English
Vydáno: 2024
Témata:
On-line přístup:http://hdl.handle.net/10835/15070