I am a R&D optimization and software engineer at Schneider Electric. I apply stochastic optimization and machine learning methods to the energy management of microgrids and smart charging of electric vehicles. I mainly develop software in Julia, Python and TypeScript. I am also a React and Serverless Framework fan.

1. PhD thesis, Time Decomposition Methods For Optimal Management Of Energy Storage Under Stochasticity (Thesis) (Defense slides)
2. P. Carpentier, J-Ph. Chancelier, M. De Lara, T. Rigaut, Algorithms for two-time scales stochastic optimization with applications to long term management of energy storage (Working paper) (preprint)
3. P. Carpentier, J-Ph. Chancelier, M. De Lara, T. Rigaut, Time Blocks Decomposition of Multistage Stochastic Optimization Problems (Submitted) (preprint)
4. A. Iovine, T. Rigaut, G. Damm, E. De Santis, M. D. Di Benedetto, Power Management for a DC MicroGrid integrating Renewables and Storages (Published) (article)
5. T. Rigaut, P. Carpentier, J-Ph. Chancelier, M. De Lara, J. Waeytens, Stochastic Optimization of Braking Energy Storage and Ventilation in a Subway Station (Published) (article)

1. ICSP, Trondheim, Norway, 2019 Algorithms for two time scales stochastic dynamic optimization - with applications to long term management of energy storage (slides)
2. PGMO Days, Paris, France, 2018 Algorithms for two time scales stochastic dynamic optimization - with applications to long term management of energy storage (slides)
3. PGMO Days, Paris, France, 2017 Two time scales stochastic dynamic optimization - Managing energy storage investment, aging and operation in Microgrids (slides)
4. Optimization for Energy Management - IETR AUT seminar, Rennes, France, 2017 Two time scales stochastic dynamic optimization - Managing energy storage operation, aging and investment (slides)
5. Smart Energy and Stochastic Optimization (SESO), Paris, France, 2017 Two time scales stochastic dynamic optimization — Managing energy storage investment, aging and operation (slides)
6. Workshop on Variational and Stochastic Analysis, Santiago de Chile, Chile, 2017 Two-scale stochastic dynamic optimization — Application to energy storage management in subway stations (slides)
7. PGMO days, Palaiseau, 2016 Energy efficiency investments and management for subway stations (slides)
8. International conference on stochastic programming (ICSP), Buzios, Brazil, 2016 Subway stations energy and air quality management (slides)
9. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), Hersonissos, Greece, 2016 Subway stations energy and air quality management (site)
10. Smart Energy and Stochastic Optimization (SESO), Paris, France, 2016 Subway stations energy and air quality management (slides)
11. Transportation Research Arena (TRA), Warsaw, Poland, 2016 Model Predictive Control for Energy and Climate Management in a Subway Station’s Thermo-electrical Microgrid
12. Smart Energy and Stochastic Optimization (SESO), Paris, France, 2015 Optimization of a subway station microgrid (slides)

1. Computer session at SESO winter school, Paris, France, 2016 (practical work)
2. Stochastic Dynamic Programming, Universidad Tecnica Federico Santa Maria (UTFSM), Valparaiso, Chile. 2017 (slides)

1. Simurex, Porticcio, France, 2015 (slides)
2. National Scientific Workshop on Micro and Smart grid, Paris, France, 2017 (poster)
3. 4 min presentation of my PhD thesis in "La méthode scientifique - La recherche montre en main" on french radio France Culture (link)