Scheduled presentations:

• Multi-fidelity Bayesian Optimisation for Wind Farms
  *A. Mole (Imperial College London), S. Laizet (Imperial College London)
• Investigating the usability of physics informed machine learning approaches for wind farm planning
  *Z. Lakdawala (Fraunhofer IWES), W. Nadeem (Fraunhofer IWES), H. Kassem (Fraunhofer IWES), M. Doerenkaemper (Fraunhofer IWES)
• Enhancing Wind Farm Efficiency in Complex Terrain: A Bayesian Optimisation based on Large Eddy Simulations
  *C. Jane-Ippel (Imperial College London), N. Bempedelis (Queen Mary University of London), R. Palacios (Imperial College London), S. Laizet (Imperial College London)
• On the improvement of closure models in Reynolds-averaged simulations of wind farms
  *N. Zehtabiyan-Rezaie
• Numerical Investigation of the Effect of Ground Obstacles on Wind Turbine Wakes
  *B. Carmo (University of São Paulo)