DocumentCode :
3754506
Title :
Joint probability distributions for wind speed and direction. A case study in Sicily
Author :
Salvatore Basile;Riccardo Burlon;Francesca Morales
Author_Institution :
Dipartimento di Energia, Ingegneria dell´Informazione e Modelli Matematici, Universit? degli Studi di Palermo, Viale delle Scienze, Edificio 6, 90128, Italy
fYear :
2015
Firstpage :
1591
Lastpage :
1596
Abstract :
In this study we analyze data of hourly average wind speed and direction measured at three different sampling stations located in Sicily (Italy) and provide a statistical model for their joint probability density function. Singly truncated from below Normal Weibull mixture distribution and a linear combination of von Mises distributions are used to model wind speed and direction. Sites with heterogeneous local conditions (prevailing wind direction and/or elevation) have been considered in order to investigate the reliability of the model here taken into consideration.
Keywords :
"Wind speed","Probability density function","Hidden Markov models","Mathematical model","Data models","Analytical models"
Publisher :
ieee
Conference_Titel :
Renewable Energy Research and Applications (ICRERA), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICRERA.2015.7418675
Filename :
7418675
Link To Document :
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