DARC: A Constraint-Diagnostic LLM Agent Framework for Day-Ahead Dispatch of Campus-Level Integrated Energy Microgrids Under Natural-Language Preferences and Forecast Uncertainty
Experiments on a campus-level microgrid IES testbed show that DARC can incorporate natural-language preferences, improve realized feasibility under forecast noise relative to both a point-forecast MILP and an interval-robust MILP baseline in terms of strictly feasible configurations, and produce diagnostic feedback tha...