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Benchmarking of different approaches to forecast solar irradiance
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dc.contributor.authorPozo Vázquez, Davides_ES
dc.contributor.authorRemund, Janes_ES
dc.contributor.authorMüller, Stefan C.es_ES
dc.contributor.authorTraunmüller, Wolfganges_ES
dc.contributor.authorSteinmaurer, Geraldes_ES
dc.contributor.authorPozo Vázquez, D.es_ES
dc.contributor.authorRuiz Arias, Jose Antonioes_ES
dc.contributor.authorLara Fanego, Vicentees_ES
dc.contributor.authorRamírez, Lourdeses_ES
dc.contributor.authorGastón, Martínes_ES
dc.contributor.authorKurz, Christianes_ES
dc.contributor.authorMartin Pomares, Luises_ES
dc.contributor.authorGeijo, Carloses_ES
dc.identifier.citation24th European Photovoltaic Solar Energy Conference and Exhibition (2009)es_ES
dc.descriptionPonencia presentada en: 24th European Photovoltaic Solar Energy Conference and Exhibition celebrada del 21-25 de septiembre de 2009 en Hamburgo.es_ES
dc.description.abstractPower generation from photovoltaic systems is highly variable due to its dependence on meteorological conditions. An efficient use of this fluctuating energy source requires reliable forecast information for management and operation strategies. Due to the strong increase of solar power generation the prediction of solar yields becomes more and more important. As a consequence, in the last years various research organisations and companies have developed different methods to forecast irradiance as a basis for respective power forecasts. For the end-users of these forecasts it is important that standardized methodology is used when presenting results on the accuracy of a prediction model in order to get a clear idea on the advantages of a specific approach. In this paper we introduce a benchmarking procedure to asses the accuracy of irradiance forecasts and compare different approaches of forecasting. The evaluation shows a strong dependence of the forecast accuracy on the climatic conditions. For Central European stations the relative rmse ranges from 40 % to 60 %, for Spanish stations relative rmse values are in the range of 20 % to 35 %.es_ES
dc.rightsLicencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-NDes_ES
dc.subjectSolar radiationes_ES
dc.subjectPV Systemes_ES
dc.titleBenchmarking of different approaches to forecast solar irradiancees_ES
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