Application of Data-Driven Method for HVAC System

• Other Authors: Guo, Yabin (Editor), Wang, Zhanwei (Editor), Hu, Yunpeng (Editor), Gomes, João M. M. (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; History of engineering & technology; indoor air quality; high occupancy rate; natural ventilation; university building; intelligent packaging; temperature; humidity; supply chain; food waste; food quality; food preservation; transportation; grain bin; PCM; phase change temperature; energy saving; PCM latent heat; mobile public toilets; thermal environment; public health security; mechanical ventilation; aerosol transmission risk; underground commercial buildings; field measurement; air distribution optimization; M-cycle; evaporative cooling; solid desiccant; humidification-dehumidification desalination; water production; load data analysis; demand side management (DSM); rural home hotels; cluster control strategy; PCM storage; air conditioning system; pattern recognition; clustering; correlation analysis; defrosting operation mode; low-carbon substation; climate zones; envelope thermal design; window to wall ratio; shape factor; chillers; fault diagnosis; fusion; residual; data; air-conditioned bed system; heat conduction heating; convection heating; thermal comfort; energy conservation; genetic algorithm; existing office parks; whole life cycle; cost benefits; carbon reduction; retrofit; relative humidity; CO concentration; CO2 concentration; cooking procedure; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.