EnergySequential decision-making and closed-loop control optimizationresearch-stage proposed control strategy described in an ieee paper, not evidence of broad commercial deployment in the provided source.

Deep reinforcement learning control for supercapacitor energy storage in urban rail transit

An AI controller learns when a rail system should charge or discharge onboard or wayside supercapacitors so recovered braking energy is reused more effectively.

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Source

https://ieeexplore.ieee.org/document/8956070