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Mallapu Vijaya Kumar

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Open access 2026

Machine learning-enabled energy management strategies for hybrid renewable-powered ultra-fast charging infrastructure

Simulation results demonstrate that the proposed ML-EMS achieves a 20–35% reduction in total grid energy cost, 25–40% peak grid power reduction, and achieves a balanced trade-off between renewable utilization, grid stability, and economic performance compared to a conventional rule-based EMS.

K. Reddy, Mallapu Vijaya Kumar · 0 citations

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