Inżynieria Rolnicza
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Title : Comparative analysis of wind speed short term forecasts for wind farms
Key words : forecasting, wind speed, wind farm
Summary :

The purpose of study was verification regarding quality of wind speed forecasts used during designing the wind farm capacity, with AAN [artificial neural network] methods and Brown, Holt, Winters and ARIMA time models. Analysis included results of forecasts for December, namely a month with the biggest wind speed amplitude changes, considering data for period of 2008-2009. Analysis of results confirmed that appropriate linear models and artificial neural methods for the period of wind speed forecast may ensure good results regarding forecasts of wind power output generated by wind farms.

Please use the following format to cite the selected article : Jaros, M., Obidziński, P. (2014). Comparative analysis of wind speed short term forecasts for wind farms. Inzynieria Rolnicza, 4(152), 81-90.
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