As power grids add more renewable energy and large-scale battery storage, utilities face a growing challenge: how to ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

Electric vehicles are in a transition period of sorts, as their technology, engineering, and manufacturing continue to rapidly evolve. To the consumer, that means plunking down your hard-earned cash ...

Abstract: This paper presents a novel predictive energy management framework for range-extended electric vehicles (REEVs) that optimizes both energy efficiency and driving experience while subject to ...

Abstract: A reinforcement learning (RL) based EV charging management system is developed for the charger coordination problem. RL can handle system uncertainties, requires no historical data, and is ...

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