Building energy efficiency: Enhancing HVAC fault detection with transformer and transfer learning

Heating, ventilation, and air conditioning (HVAC) systems, a critical component of building energy consumption, are prone to faults that can reduce their efficiency. Traditional data-driven fault detection and diagnosis (FDD) models often suffer from limited generalizability, making their application across diverse systems challenging.

air conditioning application building consumption data data-driven detection diagnosis diverse efficiency energy energy efficiency energy & green tech hvac making reduce systems transfer transfer learning transformer