Toward machine learning-based prognostics for heating ventilation and air-conditioning systems

Fault detection, diagnostics, and prognostics (FDD&P) can greatly help improve the performance of building operations by reducing energy consumption for heating, ventilation and air-conditioning (HVAC) while maintaining occupant comfort at the same time. In particular, prognostics as an emerging technique, is attracting an amount of attention from building operators and researchers because it enables a pro-active fault pr through continuously …