• Project description

We are working on a joint project with Feedgy (Paris-based startup) and the LMD (Laboratoire de Météorologie Dynamique) on a method to determine the current-voltage (IV) parameters and degradation rates of a photovoltaic (PV) system using power production and environmental data.

• Desired profile
  • Graduate student (M1 or M2)
  • Basic understanding of solar cells and PV systems required
  • Working knowledge of Python (pandas, matplotlib, sklearn…) required
  • Background in any of the following fields recommended: renewable energy, mechanical/electrical engineering, data/computer science
  • Interest in joining an up-and-coming team of researchers in the field of Artificial Intelligence (AI) techniques for PV applications
• Tasks
  • Research and assess different PV electrical/thermal models
  • Test different configurations of an optimization algorithm
  • Research, implement, and evaluate different algorithms
  • Parse data from a server, apply basic data cleaning techniques, and create an open-access dataset on Github
  • Test the developed method on different PV technologies
• Contact information

Send your CV to Joseph Chakar joseph.chakar@polytechnique.edu and Yvan Bonnassieux yvan.bonnassieux@polytechnique.edu