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- W2547836748 abstract "Windspeedforecastingisimportantforwindpowergenerationandintegration.�Inthispaper,�NonlinearAutoregressive� modelprocesswitheXogenousinput�(NARX)�isproposedforwindspeedforecast.�Themainaimofthisexperimentisto� forecastwindspeedwithmeteorologicaltimeseriesdataasinputvariableusingNARXmodel.� Priortoforecasting,� ReliefFfeatureselectionisusedforidentificationofimportantfeaturesforwindspeedforecastandreducesthe� complexityofthemodel.� Performanceisevaluatedintermsofmeansquareerrorwhenusingthefeatureselection� methodwiththeNARXmodel.� ��Keywords: Wind speed, Feature selection, NARX, ReliefF" @default.
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- W2547836748 date "2015-10-01" @default.
- W2547836748 modified "2023-09-29" @default.
- W2547836748 title "Feature Selection used for Wind Speed Forecasting with Data Driven Approaches" @default.
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- W2547836748 doi "https://doi.org/10.25103/jestr.085.17" @default.
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