Learning Control Policies from Heterogeneous Multi-Horizon Time Series in Battery Energy Management Systems

Sheng Yin, Vivek Teja Tanjavooru, Holger Hesse +1

This paper introduces Representation-to-Decision (R2D), an end-to-end imitation learning framework that maps heterogeneous multi-horizon time-series inputs directly to battery cont…