Improvement of Solar and Wind forecasting in southern Italy through a multi-model approach: preliminary results
Elenio Avolio1,Rosa Claudia Torcasio1,Teresa Lo Feudo1,Claudia Roberta Calidonna1,Daniele Contini2,and Stefano Federico3Elenio Avolio et al.Elenio Avolio1,Rosa Claudia Torcasio1,Teresa Lo Feudo1,Claudia Roberta Calidonna1,Daniele Contini2,and Stefano Federico3
Abstract. The improvement of the Solar and Wind short-term forecasting represents a critical goal for the weather prediction community and is of great importance for a better estimation of power production from solar and wind farms.
In this work we analyze the performance of two deterministic models operational at ISAC-CNR for the prediction of short-wave irradiance and wind speed, at two experimental sites in southern Italy.
A post-processing technique, i.e the multi-model, is adopted to improve the performance of the two mesoscale models.
The results show that the multi-model approach produces a significant error reduction with respect to the forecast of each model. The error is reduced up to 20 % of the model errors, depending on the parameter and forecasting time.
The improvement of the Solar and Wind short-term forecasting represents a critical goal for the weather prediction community and is of great importance for a better estimation of power production from solar and wind farms.
In this work we analyze the performance of two deterministic models operational at ISAC-CNR for the prediction of short-wave irradiance and wind speed, at two experimental sites in southern Italy.
The improvement of the Solar and Wind short-term forecasting represents a critical goal for the...
