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.
· ITEGAM- Journal of Engineeri... · 0 citations