Guillaume Principato

I’m a CIFRE PhD student in statistics and machine learning at Laboratoire de Mathématiques d’Orsay (LMO), in collaboration with Electricity of France (EDF) and INRIA, as part of the Défi EDF-INRIA. My research is supervised by Jean-Michel Poggi, Gilles Stoltz, Yvenn Amara-Ouali, Yannig Goude, and Bachir Hamrouche.

My research is centered on uncertainty quantification and predictive modeling, with applications in areas such as energy forecasting, including EV charging and load consumption. I am particularly interested in conformal prediction, time series forecasting, and hierarchical forecasting methods.