The "weather intelligence for renewable energies" benchmarking exercise on short-term forecasting of wind and solar power generation

A benchmarking exercise was organized within the framework of the European Action Weather Intelligence for Renewable Energies (“WIRE”) with the purpose of evaluating the performance of state of the art models for short-term renewable energy forecasting. The exercise consisted in forecasting the power output of two wind farms and two photovoltaic power plants, in order to compare the merits of forecasts based on different modeling approaches and input data. It was thus possible to obtain a better knowledge of the state of the art in both wind and solar power forecasting, with an overview and comparison of the principal and the novel approaches that are used today in the field, and to assess the evolution of forecast performance with respect to previous benchmarking exercises. The outcome of this exercise consisted then in proposing new challenges in the renewable power forecasting field and identifying the main areas for improving accuracy in the future.

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Copyright Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License.


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Author Sperati, Simone
Alessandrini, Stefano
Pinson, Pierre
Kariniotakis, George
Publisher UCAR/NCAR - Library
Publication Date 2015-09-03T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:06:53.627885
Metadata Record Identifier edu.ucar.opensky::articles:17731
Metadata Language eng; USA
Suggested Citation Sperati, Simone, Alessandrini, Stefano, Pinson, Pierre, Kariniotakis, George. (2015). The "weather intelligence for renewable energies" benchmarking exercise on short-term forecasting of wind and solar power generation. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7805422. Accessed 03 October 2024.

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