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Open access Aug 2026

DARC: A Constraint-Diagnostic LLM Agent Framework for Day-Ahead Dispatch of Campus-Level Integrated Energy Microgrids Under Natural-Language Preferences and Forecast Uncertainty

Day-ahead dispatch of integrated energy systems (IESs) is commonly solved by mixed-integer linear programming when objectives, constraints, and forecasts are fully specified. In practice, however, operators often express temporary preferences in natural language, and day-ahead forecasts inevitably deviate from realized...

Bingnan Li, Yiwei Guo, Huaizhong Hu et al. · 0 citations

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