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Research questionWhich building HVAC operations can LLMs safely support when sensor metadata and documentation are fragmented?Building automation systems contain heterogeneous points, missing metadata, and fragmented documentation, making operational data difficult to interpret and use. Evidence about LLM performance, safety boundaries, and real-world readiness across HVAC tasks remains uneven.
AI
Evaluation & Benchmarks
Reinforcement Learning
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Technology
Latest papersRecent research connected to this question, newest first.Large Language Models for HVAC Operations in Building Energy Systems: A Critical Review of Methods, Applications, and Deployment ReadinessGrounded in a systematic review of 66 peer-reviewed studies on LLMs for HVAC operations published from 2023 through March 2026. The evidence spans five application families and three LLM method families; only four studies reached pilot-level evidence, none reported sustained operational deployment, and no study was classified as ready for immediate industry adoption. The review identifies bounded human-in-the-loop uses, while high-frequency control and short-horizon numerical forecasting remain more established with conventional ML, MPC, and RL.research paper · Sep 4, 2026
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