March 29, 2024, 4:42 a.m. | Isabell Stucke, Deborah Morgenstern, Georg J. Mayr, Thorsten Simon, Achim Zeileis, Gerhard Diendorfer, Wolfgang Schulz, Hannes Pichler

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.18853v1 Announce Type: cross
Abstract: This study investigates lightning at tall objects and evaluates the risk of upward lightning (UL) over the eastern Alps and its surrounding areas. While uncommon, UL poses a threat, especially to wind turbines, as the long-duration current of UL can cause significant damage. Current risk assessment methods overlook the impact of meteorological conditions, potentially underestimating UL risks. Therefore, this study employs random forests, a machine learning technique, to analyze the relationship between UL measured at …

abstract arxiv assessment cs.lg current data lightning objects physics.soc-ph risk risk assessment stat.ap study threat type wind wind turbines

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