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Individuation of Wind Turbine Systematic Yaw Error through SCADA Data

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2022 United Kingdom, Italy Publisher:MDPI AGJournal:Energies, volume 15, page 8,165 (eissn: 1996-1073,

Authors: Davide Astolfi; Ravi Pandit; Linyue Gao; Jiarong Hong;

doi: 10.3390/en15218165

handle: 11379/593307

Individuation of Wind Turbine Systematic Yaw Error through SCADA Data

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Abstract

Much attention in the wind energy literature is devoted to condition monitoring [...]

Countries

United Kingdom, Italy

Related Organizations

Centre for Life
United Kingdom
Cranfield University
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University of Brescia
Italy
Cranfield University
United Kingdom
University of Colorado System
United States

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Keywords

Technology, n/a, T

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%