Abstract: Multi-energy microgrid (MEMG) control plays a crucial role in meeting diverse energy demands on the user side. Traditional methods face challenges in handling renewable energy sources (RES) ...

This is a pytorch implementation of Constrained Stackelberg Q-learning(discrete action) and Constrained Stackelberg MADDPG(continuous action). These algorithms are proposed by incorporating the ...

This is the PyTorch code for the Proactive Infeasibility Prevention (PIP) framework implemented on POMO, AM and GFACS. PIP is a generic and effective framework to advance the capabilities of neural ...

Abstract: Accurate workload and resource prediction are critical for realizing proactive, dynamic, and self-adaptive resource allocation for building cost-effective, energy-efficient, and green cloud ...