Presented at the IFAC World Congress 2026, Busan
How can batteries respond to markets in seconds while protecting their health for years? 🔋
This is the question behind our work presented at the 23rd IFAC World Congress 2026 in Busan, Korea 🇰🇷
Our hierarchical approach separates these two timescales: model predictive control operates on a long timescale, accounting for battery health and future value, while reinforcement learning handles fast market decisions. We will soon upload our arXiv preprint with more details! :)
A special thank you to Rasa Pourjam, whose hard work made this presentation possible. Ehecatl Antonio del Rio Chanona and I co-supervised Rasa’s MSc thesis at The Sargent Centre for Process Systems Engineering, and we are incredibly proud of how far he has taken the project.
Dr Paulina Quintanilla
Assistant Professor in Process Systems Engineering
Assistant Professor in Process Systems Engineering at UCL, leading the LOOPS research group. Research interests include machine learning, optimisation and control for processes and physical systems.