Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning

arXiv:2510.20040v2 Announce Type: replace-cross Abstract: Efficient energy management is essential for reliable and sustainable microgrid operation amid increasing renewable integration. In this paper, an imitation learning-based framework to approximate mixed-integer Economic Model Predictive Control (EMPC) is proposed for microgrid energy management, considering fuel generators, renewable energy resources, a unified energy storage unit, and curtailable loads. Within the proposed framework, a n