Articles | Volume 21, issue 2
Nat. Hazards Earth Syst. Sci., 21, 607–627, 2021
https://doi.org/10.5194/nhess-21-607-2021
Nat. Hazards Earth Syst. Sci., 21, 607–627, 2021
https://doi.org/10.5194/nhess-21-607-2021

Research article 11 Feb 2021

Research article | 11 Feb 2021

Predicting power outages caused by extratropical storms

Roope Tervo et al.

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Short summary
Predicting the number of power outages caused by extratropical storms is a key challenge for power grid operators. We introduce a novel method to predict the storm severity for the power grid employing ERA5 reanalysis data combined with a forest inventory. The storms are first identified from the data and then classified using several machine-learning methods. While there is plenty of room to improve, the results are already usable, with support vector classifier providing the best performance.
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