Conference

Our hierarchical MPC–RL approach for multi-timescale battery systems was presented at the 23rd IFAC World Congress in Busan, Korea — separating slow, health-aware scheduling from fast, second-by-second market decisions.

Paulina presented our work on LLM-guided symbolic regression for kinetic model discovery at the 9th ML and AI in (Bio)Chemical Engineering Conference in Cambridge.

Our paper on hierarchical MPC–reinforcement learning for multi-timescale battery systems has been accepted at the 23rd IFAC World Congress.