Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/64770
Title: Análisis multivariante en parques eólicos
Author: Guzmán Aguilar, Antonio Francisco
Tutor: Solanas, Agusti  
Others: Universitat Oberta de Catalunya
Abstract: The idea of this work is to apply several statistical and multivariate analysis methods on data obtained from wind farms using the statistical "R" language on the "RStudio" programming environment. The document pursues three objectives, verifying the quality of the data collected by the systems, observing the behaviour of wind turbine components and detecting production deviations. The methodology followed is the detection of outlier values, the use of "Z" score to observe the behaviour of a component with respect to its wind farm homologues, and the use of clustering to verify possible deviations of production of a turbine.
Keywords: multivariate
wind
wind turbine
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Jun-2017
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
Appears in Collections:Bachelor thesis, research projects, etc.

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