Dépôt numérique
RECHERCHER

Modeling directional distributions of wind data in the United Arab Emirates at different elevations.

Al Yammahi, Aishah, Marpu, Prashanth R. et Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X (2021). Modeling directional distributions of wind data in the United Arab Emirates at different elevations. Arabian Journal of Geosciences , vol. 14 , nº 9. p. 774. DOI: 10.1007/s12517-021-06864-3.

Ce document n'est pas hébergé sur EspaceINRS.

Résumé

Modeling wind speed and direction are crucial in several applications such as the estimation of wind energy potential and the study of the long-term effects on engineering structures. While there have been several studies on modeling wind speed, studies on modeling wind direction are limited. In this work, we use a mixture of von Mises distributions to model wind direction. Finite mixtures of von Mises (FMVM) distributions are used to model wind directions at two sites in the United Arab Emirates. The parameters of the FMVM distribution are estimated using the least square method. The results of the research show that the FMVM is the best suited distribution model to fit wind direction at these two sites, compared to other distributions commonly used to model wind direction.

Type de document: Article
Mots-clés libres: circular statistics; directional data; finite mixture of von mises distributions; wind direction
Centre: Centre Eau Terre Environnement
Date de dépôt: 15 oct. 2021 17:32
Dernière modification: 15 févr. 2022 20:34
URI: https://espace.inrs.ca/id/eprint/11985

Actions (Identification requise)

Modifier la notice Modifier la notice