معرفی
Pierre Haessig is a researcher and teacher at CentraleSupélec's Rennes campus, part of the Automation Team within the Rennes Institute of Electronics and Telecommunications (IETR). His work focuses on optimal energy management of storage systems (batteries) integrated with renewable energy sources like wind and photovoltaic. Research addresses uncertainties in energy inputs, such as solar variability and load fluctuations, using stochastic optimization techniques. He teaches Automation and Electrical Engineering in engineering programs.
- Affiliations: CentraleSupélec, IETR (Rennes)
- Key Research Areas: Energy Management, Stochastic Optimization, Renewable Integration, Battery Aging Models
His publications (36+) explore topics like microgrid optimization, Kalman filter-based battery state estimation, and the impact of uncertainties on energy systems. He has contributed to open-source benchmarks like Solar Home 2020 and collaborated on projects involving hardware-in-the-loop testing for power electronics. His research emphasizes real-world applications in resilient energy systems and control strategies.
Notable contributions include developing convex models for battery aging and advancing methods for anticipative/non-anticipative microgrid sizing. His work bridges theoretical optimization with practical implementations in energy storage and renewable integration.
