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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Arkaitz Rabanal, Alain Ulazia, Gabriel Ibarra-Berastegi, Jon Sáenz, Unai Elosegui
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2018-12-01
Sarja:	Energies
Aiheet:	wind turbine anemometer kernel-based multidimensional probability density function ERA5 reanalysis
Linkit:	http://www.mdpi.com/1996-1073/12/1/28
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