This paper presents a clustering based data mining method for determining the typical wind power profiles and also to estimate the share of wind power from the total power required by the electrical power system in one year. The proposed method was tested using a real data set with information's about power produced in one year (2016), in Romania. The results demonstrate the efficiency of the methodology to be successfully used in patterns discovery of the wind power profiles.