Predicting wind power variability events using different statistical methods driven by regional atmospheric model output

Publisher： John Wiley & Sons Inc

E-ISSN： 1099-1824|18|9|1611-1628

ISSN： 1095-4244

Source： WIND ENERGY, Vol.18, Iss.9, 2015-09, pp. : 1611-1628

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