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Critical Review of LLMs for HVAC Operations in Buildings
US & West ·
A systematic review of 66 studies (2023-2026) on LLMs for HVAC operations classifies methods and applications, revealing concentration on building energy modeling but few pilot-level deployments and no sustained operational use.
Why it matters
This review assesses readiness of AI methods for practical deployment in building energy management.
Two headroom-aware adaptive MPC strategies are developed for PV-dominated microgrids, accounting for stochastic and time-varying reserve headroom of inverter-based resources to avoid control saturation and improve load frequency control.
Methods for urban traffic digital twins are presented, emphasizing prediction and decision-making capabilities, powered by AI and cyber-physical systems, distinguishing them from traditional simulators.
A model predictive control framework for a hybrid energy storage system (battery plus supercapacitor) is proposed, embedding band-pass filter dynamics to smooth grid-side power demand of AI data centers. The receding-horizon optimization mitigates load-induced grid oscillations.
