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Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration in the electricity supply structure it is necessary to predict the wind power hours or days ahead. There are models based on physical, statistical or artificial intelligence approaches for the prediction of wind power. In this paper a new short-term prediction method is described based on variable selection usingdoi:10.1145/1276958.1277361 dblp:conf/gecco/Jursa07 fatcat:eepd65rh35civiuq4nrnvwetvy