Improvement of Solar and Wind forecasting in southern Italy through a multi-model approach: preliminary results

Avolio, Elenio; Torcasio, Rosa Claudia; Lo Feudo, Teresa; Calidonna, Claudia Roberta; Contini, Daniele; Federico, Stefano

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.

Zitieren

Zitierform:

Avolio, Elenio / Torcasio, Rosa Claudia / Lo Feudo, Teresa / et al: Improvement of Solar and Wind forecasting in southern Italy through a multi-model approach: preliminary results. 2016. Copernicus Publications.

Zugriffsstatistik

Gesamt:
Volltextzugriffe:
Metadatenansicht:
12 Monate:
Volltextzugriffe:
Metadatenansicht:

Grafik öffnen

Rechte

Rechteinhaber: Elenio Avolio et al.

Nutzung und Vervielfältigung:

Export