2020-05-222020-05-222020-03-16http://hdl.handle.net/123456789/11566engNamensnennung 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/probabilistic wind power forecastingcopulaupscalingregional forecastingrenewalble energy620Probabilistic upscaling and aggregation of wind power forecastsAufsatzErneuerbare EnergienWindenergiePrognoseverfahren