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Found 3 papers, 3 papers with code
Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning
In this region, THOR specifically reveals a shift in dynamical regime under climate change driven by changes in wind stress and interactions with bathymetry.
Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models
We also demonstrate that when utilising the Curl model, WakeNet is able to provide similar power gains to FLORIS, two orders of magnitude faster (e. g. 10 minutes vs 36 hours per optimisation case).
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics
The uncertainty analysis from the BNN provides a comprehensive overview of the prediction more suited to practitioners' needs than predictions from a classical neural network.
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