TY - JOUR
TI - Entropy approach for volatility of wind energy
AU - Calik Sinan
AU - Metin Karakaş Ayşe
JN - Thermal Science
PY - 2019
VL - 23
IS - 16
SP - 1863
EP - 1874
PT - Article
AB - In this study, we give the practice of entropy in wind energy. Firstly, we  fit marginal distributions to each of the variables and later demonstrate  the notion of entropy to perform a comparison the wind energy data of the  stations (Bursa, Elazığ, İstanbul, Muğla, Rize, Tokat, Van and Zonguldak)  that have been examined in a period 2015-2018. The results of probability  distribution fitting to these wind energy variables show that the wind  energy time series of Bursa, Elazığ, İstanbul, Muğla, Rize, Tokat, Van and  Zonguldak are best resubmitted by Gamma Burr and Lognormal distributions.  Later, we calculate Shannon entropy for several various values, Tsallis  entropy, Rényi entropy and the approximate entropy. We form calculation  outcomes with these entropies for daily data.