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  • 1
    ISBN: 9783036596914 , 9783036596907
    Language: Undetermined
    Pages: 1 Online-Ressource (272 p.)
    Keywords: 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
    Abstract: 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
    Note: English
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