<p>This reprint entitled Application of data-driven method for HVAC System is dedicated to providing an overview of the latest achievements in the application of data-driven methods for HVAC systems. Topics of interest include but are not limited to the following: fault detection and diagnosis of HVAC systems; energy consumption prediction; model predictive control; data mining and analysis of HVAC systems; data mining and analysis of building environment; energy conservation; energy saving.</p>