Energy Management for Microgrids: a Reinforcement Learning Approach. - Tanguy Levent; Philippe Preux; Erwan Le Pennec; Jordi Badosa; Gonzague Henri; Yvan Bonnassieux (ISGT Europe, 2019)

Machine Learning Application to Priority Scheduling in Smart Microgrids. - Aicha Dridi; Hassine Moungla; Hossam Afifi; Jordi Badosa; Florence Ossart; Ahmed E. Kamal 001 (IWCMC, 2020)

Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data. - Daniel de Barros Soares; François Andrieux; Bastien Hell; Julien Lenhardt; Jordi Badosa; Sylvain Gavoille; Stéphane Gaïffas; Emmanuel Bacry (CoRR, 2021)

Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection. - Dimitri Bouche; Rémi Flamary; Florence d'Alché-Buc; Riwal Plougonven; Marianne Clausel; Jordi Badosa; Philippe Drobinski (CoRR, 2022)

A Novel Deep Reinforcement Approach for IIoT Microgrid Energy Management Systems. - Aicha Dridi; Hossam Afifi; Hassine Moungla; Jordi Badosa (IEEE Trans. Green Commun. Netw., 2022)

Optimal Operation of a Building with Electricity-Heat Networks and Seasonal Storage. - Eléa Prat; Pierre Pinson; Richard Martin Lusby; Riwal Plougonven; Jordi Badosa; Philippe Drobinski (ISGT EUROPE, 2024)