Gregory Duthé at AMLD 2025
Gregory Duthé offered an input talk on use of Graph Neural Network methods for wind farm predictive modelling during the Applied Machine Learning Days (AMLD), in the Machine Learning for Science and Engineering session, organized by Olga Fink and Johannes Brandstetter.
His talk, titled "Smarter Wind Farms: Harnessing GNNs for Fast and Reliable Fatigue Assessment", showcased how Graph Neural Networks (GNNs) can be leveraged to enhance the efficiency and reliability of wind energy systems.
This presentation is a great opportunity to explore how machine learning is shaping the future of renewable energy. If in attendance of the external page AMLD conference at EPFL, and interested in the application of GNNs in scientific and engineering domains, reach out to Gregory Duthé for further discussions.