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...
| Autors principals: | , , , , |
|---|---|
| Format: | info:eu-repo/semantics/article |
| Idioma: | English |
| Publicat: |
2024
|
| Matèries: | |
| Accés en línia: | http://hdl.handle.net/10835/15070 |