Luca Lanzilao

Postdoctoral Researcher

​Luca Lanzilao is a postdoctoral researcher at the Bern University of Applied Sciences. His work focuses on developing and validating machine learning and physics-based models for solar energy forecasting. According to Luca, the increasing availability of weather data enables the training of deep learning models, which can outperform traditional forecasting approaches, particularly in nowcasting applications.
He earned both his Bachelor’s and Master’s degrees from Politecnico di Torino before completing a PhD in Mechanical Engineering at KU Leuven. His doctoral thesis, "Modelling of self-induced atmospheric gravity waves in large-scale wind farms", investigated the interactions between large wind farms and the atmospheric boundary layer using Large-Eddy Simulations. For this work, he received the 2024 EAWE Excellent Young Doctor Award for the most impactful PhD thesis worldwide in wind energy in 2023. After completing his PhD, Luca pursued postdoctoral research at KU Leuven before joining the Energy Weather and AI Lab at the Bern University of Applied Sciences.