%0 Journal Article %1 Avolio2016Improvement %A Avolio, Elenio %A Torcasio, Rosa C. %A Lo Feudo, Teresa %A Calidonna, Claudia R. %A Contini, Daniele %A Federico, Stefano %D 2016 %J Advances in Science and Research %K wind energy solar renewables nwp %P 69--73 %R 10.5194/asr-13-69-2016 %T Improvement of Solar and Wind forecasting in southern Italy through a multi-model approach: preliminary results %U http://dx.doi.org/10.5194/asr-13-69-2016 %V 13 %X 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.

@article{Avolio2016Improvement, 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.}, added-at = {2018-06-18T21:23:34.000+0200}, author = {Avolio, Elenio and Torcasio, Rosa C. and Lo Feudo, Teresa and Calidonna, Claudia R. and Contini, Daniele and Federico, Stefano}, biburl = {https://www.bibsonomy.org/bibtex/268ded0ff1f95ec52128055eab9a6c53c/pbett}, citeulike-article-id = {14016875}, citeulike-linkout-0 = {http://dx.doi.org/10.5194/asr-13-69-2016}, day = 20, doi = {10.5194/asr-13-69-2016}, interhash = {a6c451142f67ea2dc0ba3adeaff0de57}, intrahash = {68ded0ff1f95ec52128055eab9a6c53c}, issn = {1992-0636}, journal = {Advances in Science and Research}, keywords = {wind energy solar renewables nwp}, month = apr, pages = {69--73}, posted-at = {2016-04-20 16:22:55}, priority = {2}, timestamp = {2018-06-22T18:36:26.000+0200}, title = {Improvement of Solar and Wind forecasting in southern Italy through a multi-model approach: preliminary results}, url = {http://dx.doi.org/10.5194/asr-13-69-2016}, volume = 13, year = 2016 }