Articles | Volume 8, issue 10
Research article
16 Oct 2023
Research article |  | 16 Oct 2023

A decision-tree-based measure–correlate–predict approach for peak wind gust estimation from a global reanalysis dataset

Serkan Kartal, Sukanta Basu, and Simon J. Watson

Model code and software

Peak Wind Gust Estimation S. Kartal

Short summary
Peak wind gust is a crucial meteorological variable for wind farm planning and operations. Unfortunately, many wind farms do not have on-site measurements of it. In this paper, we propose a machine-learning approach (called INTRIGUE, decIsioN-TRee-based wInd GUst Estimation) that utilizes numerous inputs from a public-domain reanalysis dataset, generating long-term, site-specific peak wind gust series.
Final-revised paper