HVAC system with predictive airside control

The claims describe an HVAC system that uses a smart controller to predict and manage a building's heating and cooling needs. It generates specific energy targets for different areas or time periods by using a mathematical model of heat transfer, which considers the building's current temperature and how it stores heat. The system then adjusts the air conditioning and heating equipment to precisely meet these calculated energy goals.

Why it matters: Filed in 2020, this system's core relies on adaptive control and predictive modeling using heat transfer models. Since then, significant advancements in machine learning and computational efficiency have made building and running such complex optimization models more practical and precise for real-time HVAC management.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, heat transfer modeling, HVAC integration.

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