Abstract Renewable energy sources have been become important in the whole world along with the rapid depletion of energy resources. Potential of the wind energy, one of the most important renewable energy sources, in any region can be estimated using the statistical methods. For modelling, various distributions were used the wind speed data in the related modelling literature. Moreover, in the literature, fitting these distributions was performed via static data. Distributions must be dynamically adapted as the wind speed changes over time. The Real- Time Modelling (RTM) tool is proposed to determine the most appropriate distribution of real-time wind speed in this study. The developed RTM tool for modelling real-time wind speed model can determine the best distribution according to some evaluation criteria. This study show that the developed RTM tool work effectively and efficiently in the real-time wind speed data. Editor: H. Kemal İlter, Ankara Yıldırım Beyazıt University, Turkey Received: August 19, 2018, Accepted: October 18, 2018, Published: November 10, 2018 Copyright: © 2018 IMISC Özsoy et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.