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Author

M. Meyyappan

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Open access 2026

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

The increasing penetration of weather-driven renewable energy sources in smart grids introduces operational instability, harmonic distortion, and elevated switching costs due to the limitations of rule-based and deterministic control strategies. This study proposes a deep reinforcement learning-based adaptive switching...

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

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