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Better seasonal forecasts for the renewable energy industry

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An Author Correction to this article was published on 25 February 2020

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Anomalous seasons such as extremely cold winters or low-wind summers can seriously disrupt renewable energy productivity and reliability. Better seasonal forecasts providing more accurate information tailored to stakeholder needs can help the renewable energy industry prepare for such extremes.

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Fig. 1: Decision tree explaining user choices based on skill scores and probability distribution functions.
Fig. 2: Final and power futures settlement prices in Germany and France for week 3 in 2017, a severe cold spell period.

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Acknowledgements

The authors acknowledge funding from the EU Horizon 2020 project “Sub-seasonal to seasonal climate forecasting for energy (S2S4E)” (GA776787).

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Authors and Affiliations

  1. Center for International Climate Research Oslo (CICERO), Oslo, Norway

    Anton Orlov & Jana Sillmann

  2. Barcelona Supercomputing Center, Barcelona, Spain

    Ilaria Vigo

Authors
  1. Anton Orlov
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  2. Jana Sillmann
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  3. Ilaria Vigo
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Corresponding author

Correspondence to Jana Sillmann.

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Orlov, A., Sillmann, J. & Vigo, I. Better seasonal forecasts for the renewable energy industry. Nat Energy 5, 108–110 (2020). https://doi.org/10.1038/s41560-020-0561-5

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