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.
|Title of host publication||2015 International Conference on Renewable Energy Research and Applications (ICRERA)|
|Number of pages||6|
|Publication status||Published - 2015|
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment