This paper describes some of the problems in the prediction of onshore wind farm. The possibility of using a neural network to forecast wind power production and its resistance to changing weather-terrain conditions are examined here. The effect of uneven distribution of the wind speed and direction depending on the location of the turbine are also analyzed. Three different structures of neural networks together with a comparison of efficiency of obtained forecasts are shown.