Power Curve Characterization II. Modelling Using Polynomial Regression.

descriptionPublicationkeyboard_double_arrow_right Article 08 Jan 2024Publisher:UK Zhende Publishing Limited CompanyJournal:RE&PQJ, volume 3 (issn: 2172-038X, eissn: 2172-038X,

Copyright policy )

Authors: null A. Llombart; null S. J. Watson; null J.M. Fandos; null D. Llombart;

doi: 10.24084/repqj03.301

Power Curve Characterization II. Modelling Using Polynomial Regression.

- Summary
- Metrics

Abstract

Accurate determination of wind turbine performance is necessary for economic operation of a wind farm. We propose modifications to the basic polynomial method to take account of distance between the meteorological mast and the wind turbine and also the complexity of the terrain. The methods are evaluated using data from operational wind farms and the methods are compared to a modified IEC 61400-12 bin method.

Related Organizations

View all View all

Impact byBIP!

	selected citations These citations are derived from selected sources. 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).	2
	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.	Average
	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.	Average