Feature Selection used for Wind Speed Forecasting with Data Driven Approaches

Windspeedforecastingisimportantforwindpowergenerationandintegration.�Inthispaper,�NonlinearAutoregressive� modelprocesswitheXogenousinput�(NARX)�isproposedforwindspeedforecast.�Themainaimofthisexperimentisto� forecastwindspeedwithmeteorologicaltimeseriesdataasinputvariableusingNARXmodel.� Priortoforecasting,� ReliefFfeatureselectionisusedforidentificationofimportantfeaturesforwindspeedforecastandreducesthe� complexityofthemodel.� Performanceisevaluatedintermsofmeansquareerrorwhenusingthefeatureselection� methodwiththeNARXmodel.� ��Keywords: Wind speed, Feature selection, NARX, ReliefF

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