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.
Newspaleti 
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.
