Estimación de parámetros en distribuciones de dirección del viento

  1. Martínez Gutiérrez, Samuel 1
  2. Sarabia, Daniel 1
  3. Merino, Alejandro 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Journal:
Jornadas de Automática
  1. Cruz Martín, Ana María (coord.)
  2. Arévalo Espejo, V. (coord.)
  3. Fernández Lozano, Juan Jesús (coord.)

ISSN: 3045-4093

Year of publication: 2024

Issue: 45

Type: Article

DOI: 10.17979/JA-CEA.2024.45.10821 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Abstract

One of the fundamental characteristics to be studied when characterising the wind resource of a wind farm candidate site is the distribution of the wind direction.One of the most commonly used methods to model the distribution of the wind direction is to use a finite mixture of von Mises distributions (mvM), whose parameters are usually obtained using the method of least squares. Traditionally, this method fits the cumulative distribution function (cdf), however, in this paper we propose to fit the probability density function (pdf) as it has computational advantages.To compare both methods, the coefficient of determination (R2) is evaluated on both the pdf (R2pdf) and the cdf (R2cdf) using parameters from each approach. Generally, adjusting parameters via the least squares method on the pdf proves quicker and yields better R2pdf without significantly impacting in R2cdf.

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Data source: Dialnet