The paper addresses the problem of wind energy generation forecasting. We perform the comparative analysis of the design factors of the wind generator power in case of using different height adjustment functions (power and logarithmic) and without normalization to height. The analysis is based on installed capacity utilization factors (ICUF) comparison. Distribution functions such as one, two and three parameter Weibull distribution, Rayleigh distribution and Grincevich table distribution are compared in terms of a resulting probability density, modal value and resulting installed capacity utilization factor (ICUF). The case study is based on real data including meteorological database.