Quentin Paletta is an ESA research fellow in AI and the use of Earth Observations for Climate. His research focuses on predicting the impact of weather on solar power production at different spatio-temporal scales (local and regional, from minutes to hours in the future). This aims at accelerating the transition towards renewable energy sources by addressing the inherent variability of solar energy caused by meteorological influences such as aerosols and clouds. More specifically, his work involves developing short-term solar forecasting methods based on cloud cover observations from geostationary satellites or ground-level sky cameras. His research interests include power systems, weather forecasting, remote sensing, machine learning, image and video analysis.
In 2023, Quentin obtained his PhD from the Engineering Department of the University of Cambridge (UK). His thesis on solar energy meteorology was conducted in collaboration with ENGIE lab CRIGEN (France). Previously, he received a MSc from CentraleSupélec engineering school (Paris-Saclay University, France) and an MPhil in Energy Technologies from the University of Cambridge.
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