Supplemental Materials for "Constrained Reinforcement Learning Scheduling for Low-Carbon IES Considering P2G-CCS Coupling and District Heating Network Thermal Inertia"
This record contains the supplemental materials associated with the manuscript entitled “Constrained Reinforcement Learning Scheduling for Low-Carbon IES Considering P2G-CCS Coupling and District Heating Network Thermal Inertia.” The supplemental materials include standard SAC update equations, the complete Action Projection-Smoothed PI-SAC training procedure, implementation details, system and training parameters, ablation settings, and RES sensitivity results.