The “Weather Intelligence for Renewable Energies” Benchmarking Exercise on Short-Term Forecasting of Wind and Solar Power Generation
Simone Sperati,
Stefano Alessandrini,
Pierre Pinson and
George Kariniotakis
Additional contact information
Simone Sperati: Sustainability & Energy Sources, Ricerca Sistema Energetico (RSE) SpA, Milano 20134, Italy
Stefano Alessandrini: Research Applications Laboratory, National Center for Atmospheric Research (NCAR), Boulder, CO 80301, USA
Pierre Pinson: Electrical Engineering, Technical University of Denmark (DTU), Kgs. Lyngby 2800, Denmark
George Kariniotakis: Renewable Energies & SmartGrids, MINES ParisTech, Sophia Antipolis 06904, France
Energies, 2015, vol. 8, issue 9, 1-26
Abstract:
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.
Keywords: short-term energy forecasting; wind power; solar power; renewable energies; probabilistic forecasting; meteorological modeling; benchmarking comparison (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (18)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:8:y:2015:i:9:p:9594-9619:d:55264
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