Comparison of wind speed distributions: a case study for Aegean coast of Turkey
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CitationFatma Gül Akgül & Birdal Şenoğlu (2019). Comparison of wind speeddistributions: a case study for Aegean coast of Turkey, Energy Sources, Part A: Recovery,Utilization, and Environmental Effects, DOI: 10.1080/15567036.2019.1663309
The determination of wind speed characteristics is extremely important forestimating the wind power output. In this context, Weibull distribution is oneof the most commonly used statistical distributions for modeling wind speed.However, despite its widespread usage, it may not be accurate for modeling allwind regimes. For this reason, alternative distributions are utilized for model-ing wind speed data. In this study, we use Rayleigh, Inverse Weibull (IW), BurrType III, Extreme Value (EV), Gamma, Inverse Gamma (IG), Marshall–Olkinextended Lindley (MOEL), generalized Extreme Value (GEV) and exponentiatedWeibull (EW) distributions as alternatives to Weibull. Our aim is to determinethe distribution which provides the best fit for different wind regimes encoun-tered in nature. In the application part, data sets are taken from stationslocated on Turkey’s Aegean coast and the fitting performances of the above-mentioned distributions are compared. In order to determine the appropriatewind speed distributions. Different model selection criteria are utilized.