Topic: Building Controls
Type: Best Practice
Discussion of practical AI/ML applications in HVAC and building automation systems. Documents case study of ML-based chiller plant optimization achieving 60% energy reduction (from 1.3-1.4 kW/ton to 0.45-0.55 kW/ton) and LLM use cases including code translation, syntax checking, and automated fault detection. Addresses limitations of current AI for HVAC-specific applications.