Preprint

Our new preprint proposes a hierarchical control framework that combines model predictive control and reinforcement learning to balance second-by-second market decisions with long-term battery health, extending battery lifetime by 84% and increasing profit by 34% compared with MPC baselines.

Our new preprint introduces DASyR-LLM, a framework that pairs symbolic regression with large language models to discover interpretable kinetic models from noisy data — with equivalent accuracy using up to 79% fewer experiments.