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.
Original language | English |
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Journal | Energies |
Volume | 8 |
Issue number | 9 |
Pages (from-to) | 9594-9619 |
ISSN | 1996-1073 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- Short-term energy forecasting
- Wind power
- Solar power
- Renewable energies
- Probabilistic forecasting
- Meteorological modeling
- Benchmarking comparison