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P. Avirajamanjula

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Open access 2026

Deep Reinforcement Learning-Based Adaptive Switching for Risk-Cost-Optimized Renewable Smart Grids

A deep reinforcement learning-based adaptive switching framework to enhance renewable utilization while minimizing operational risk and economic cost is proposed and provides a scalable and intelligent solution for industrial smart grid applications.

M. Meyyappan, P. Avirajamanjula, P. Marimuthu et al. · 0 citations

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