Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning

no code implementations • 6 Sep 2021 • S. Ashwin Renganathan, Romit Maulik, Stefano Letizia, Giacomo Valerio Iungo

Physics-based models that capture the wake flow-field with high-fidelity are computationally very expensive to perform layout optimization of wind farms, and, thus, data-driven reduced order models can represent an efficient alternative for simulating wind farms.

Active Learning BIG-bench Machine Learning