He is now a research director at the O.I.E. Laboratory (Observation, Impacts, Energy) [archive] at Mines Paris – PSL, based in Sophia Antipolis. His main research focuses on:

• AI-based solar irradiance forecasting

• Probabilistic modeling

• Uncertainty quantification

• Energy optimization in smart microgrids

Recent innovations include:

• Clear-sky-free models using extreme learning machines trained directly on raw GHI data.

• Transfer learning and clustering to adapt forecasting models to locations with little or no data.

• Complex-valued time series encoding both amplitude and volatility for probabilistic forecasting.

• The introduction of the Stochastic Coefficient of Variation (sCV) and a new Forecastability Index.

Key publications:

• Stochastic Coefficient of Variation..., Renewable Energy, 2026

• Clear-Sky Models in Solar Forecasting, Solar Energy, 2025

• Transfer Learning for Solar Forecasting, Applied Energy, 2024

• ML methods for solar radiation forecasting: A review, Renewable Energy, 2017

• Complex-Valued Time Series for Forecasting, J. Renewable and Sustainable Energy, 2023

• Hybrid VMAT/3DCRT Planning, Scientific Reports, 2023