This proposed UES Measure uses AI to continuously optimize commercial HVAC packaged/rooftop units to reduce annual dual fuel (where applicable) energy savings and carbon reductions. The system optimizes each HVAC zone uniquely, providing a fully optimized multi-zone HVAC commercial site maximizing energy savings and sustainability benefits. The system considers internal/external environmental and operational factors within its machine learning environment and forecasts the optimal energy, carbon and tenant comfort; delivering an optimal temperature control for the HVAC zone. Actual control results feed into the reinforcement machine learning algorithm to constantly improve the optimization over time. Additionally, the AI software will baseline system operations during non AI operational schedules and automatically calculate the actual versus baseline savings and carbon emissions. The system naturally integrates a fully automated demand response solution for HVAC packaged units enabling utilities to offer DR programs to broader commercial customers. This solution is very cost effective and simple to install, reaching the typically underserved small to medium commercial market and opens up additional efficiency, sustainability and demand response markets for utilities. CarbonControl Overview Video: https://drive.google.com/file/d/1jvzESSMPFD1iI-pSgi9gWEhDmB0m4pvz/view?usp=drivesdk
