Professor Emanuele Ogliari from the Department of Energy at Politecnico di Milano was invited as a keynote speaker at the Symposium on Renewable Feed-in Forecasting, organized by Brandenburg University of Technology (BTU) and held on November 25 in Cottbus, Germany.

The Symposium is a dedicated forum addressing the scientific and practical challenges related to forecasting energy production from renewable sources, a crucial topic for power system stability and energy market optimization. The event brought together researchers, university faculty, grid operators, and representatives from the energy industry, fostering dialogue between advanced research and operational applications.

In his talk entitled “Machine Learning for Renewable Energy: Improving Solar Radiation Nowcasting”, Professor Ogliari presented the latest research activities of the Electrotechnics and Measurements (EEM) group, focusing on advanced techniques for solar radiation forecasting. His contribution aligned with the core themes of the Symposium, which emphasize the use of machine learning and artificial intelligence methodologies in the energy sector, with particular attention to renewable energy sources.