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Application of Data-Driven Method for HVAC System

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 di...

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Bibliographic Details
Main Author: Guo, Yabin
Other Authors: Wang, Zhanwei, Hu, Yunpeng, Gomes, João M. M.
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Genetic Algorithm
High Occupancy Rate
N/a
Aerosol Transmission Risk
Air Distribution Optimization
Mobile Public Toilets
Grain Bin
Natural Ventilation
Cluster Control Strategy
Evaporative Cooling
Fusion
Field Measurement
Data
Whole Life Cycle
Shape Factor
History Of Engineering And Technology / Bicssc
Existing Office Parks
Chillers
M-cycle
Underground Commercial Buildings
Relative Humidity
Air-conditioned Bed System
Thermal Environment
Climate Zones
Defrosting Operation Mode
Technology: General Issues / Bicssc
Transportation
Water Production
Co Concentration
Public Health Security
Food Waste
Thermal Comfort
Cost Benefits
Humidification-dehumidification Desalination
Correlation Analysis
Energy Conservation
Demand Side Management (dsm)
Clustering
Heat Conduction Heating
Residual
Intelligent Packaging
Pcm
Mechanical Ventilation
Co2 Concentration
University Building
Food Quality
Retrofit
Air Conditioning System
Convection Heating
Fault Diagnosis
Phase Change Temperature
Energy Saving
Rural Home Hotels
Load Data Analysis
Pcm Storage
Supply Chain
Carbon Reduction
Indoor Air Quality
Temperature
Food Preservation
Solid Desiccant
Pcm Latent Heat
Pattern Recognition
Humidity
Cooking Procedure
Low-carbon Substation
Window To Wall Ratio
Envelope Thermal Design
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (272 p.)
ISBN:books978-3-0365-9690-7
9783036596907
9783036596914

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