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...

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Главные авторы:	Arkaitz Rabanal, Alain Ulazia, Gabriel Ibarra-Berastegi, Jon Sáenz, Unai Elosegui
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2018-12-01
Серии:	Energies
Предметы:	wind turbine anemometer kernel-based multidimensional probability density function ERA5 reanalysis
Online-ссылка:	http://www.mdpi.com/1996-1073/12/1/28
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