MIDAS: A Benchmarking Multi-Criteria Method for the Identification of Defective Anemometers in Wind Farms

A novel multi-criteria methodology for the identification of defective anemometers is shown in this paper with a benchmarking approach: it is called MIDAS: multi-technique identification of defective anemometers. The identification of wrong wind data as provided by malfunctioning devices is very imp...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Arkaitz Rabanal, Alain Ulazia, Gabriel Ibarra-Berastegi, Jon Sáenz, Unai Elosegui
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2018-12-01
Schriftenreihe:	Energies
Schlagworte:	wind turbine anemometer kernel-based multidimensional probability density function ERA5 reanalysis
Online-Zugang:	http://www.mdpi.com/1996-1073/12/1/28
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!