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- Title
Application of Data-Driven Methods for Heating Ventilation and Air Conditioning Systems.
- Authors
Guo, Yabin; Liu, Yaxin; Wang, Zhanwei; Hu, Yunpeng
- Abstract
This document discusses the application of data-driven methods for heating, ventilation, and air conditioning (HVAC) systems. The limitations of traditional approaches in solving issues related to control optimization, pattern recognition, and fault diagnosis in HVAC systems are highlighted. Data-driven methods, which utilize machine learning and artificial intelligence, are proposed as a solution to overcome these limitations. The document presents various studies and experiments that have been conducted to analyze building environment data, optimize HVAC system control, and apply data-driven methods. The findings from these studies provide valuable insights for improving the performance and energy efficiency of HVAC systems.
- Subjects
AIR conditioning; VENTILATION; FAULT diagnosis; MACHINE learning; ARTIFICIAL intelligence; ENERGY consumption
- Publication
Processes, 2023, Vol 11, Issue 11, p3133
- ISSN
2227-9717
- Publication type
Article
- DOI
10.3390/pr11113133