Articles | Volume 3, issue 2
Wind Energ. Sci., 3, 667–680, 2018
https://doi.org/10.5194/wes-3-667-2018
Wind Energ. Sci., 3, 667–680, 2018
https://doi.org/10.5194/wes-3-667-2018
Research article
09 Oct 2018
Research article | 09 Oct 2018

Probabilistic forecasting of wind power production losses in cold climates: a case study

Jennie Molinder et al.

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Latest update: 25 Jun 2022
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Short summary
This study shows that using probabilistic forecasting can improve next-day production forecasts for wind energy in cold climates. Wind turbines can suffer from severe production losses due to icing on the turbine blades. Short-range forecasts including the icing-related production losses are therefore valuable when planning for next-day energy production. Probabilistic forecasting can also provide a likelihood for icing and icing-related production losses.