[HTML][HTML] A comprehensive review of the applications of machine learning for HVAC

SL Zhou, AA Shah, PK Leung, X Zhu, Q Liao - DeCarbon, 2023 - Elsevier
Heating, ventilation and air-conditioning (HVAC) accounts for around 40% of the total
building energy consumption. It has therefore become a major target for reductions, in terms …

[HTML][HTML] AI in HVAC fault detection and diagnosis: A systematic review

J Bi, H Wang, E Yan, C Wang, K Yan, L Jiang, B Yang - Energy Reviews, 2024 - Elsevier
Recent studies show that artificial intelligence (AI), such as machine learning and deep
learning, models can be adopted and have advantages in fault detection and diagnosis for …

How to improve the application potential of deep learning model in HVAC fault diagnosis: Based on pruning and interpretable deep learning method

Y Gao, S Miyata, Y Akashi - Applied Energy, 2023 - Elsevier
Automated fault detection and diagnosis (AFDD) plays a crucial role in enhancing the
energy efficiency of air conditioning systems. Deep learning has emerged as a promising …

Improved convolutional neural network chiller early fault diagnosis by gradient-based feature-level model interpretation and feature learning

G Li, L Chen, C Fan, J Gao, C Xu, X Fang - Applied Thermal Engineering, 2024 - Elsevier
For chillers, fault diagnosis (FD) is important for maintaining system reliability and
performance. Deep learning methods, such as convolutional neural network (CNN), have …

A thermodynamic-law-integrated deep learning method for high-dimensional sensor fault detection in diverse complex HVAC systems

H Ren, C Xu, Y Lyu, Z Ma, Y Sun - Applied Energy, 2023 - Elsevier
Abstract In building Heating, Ventilation and Air Conditioning (HVAC) systems, sensor
healthy operation is the foundation of the adopted control strategies to improve building …

A universal hydraulic-mechanical diagnostic framework based on feature extraction of abnormal on-field measurements: Application in micro pumped storage system

Z Zhao, F Chen, X He, P Lan, D Chen, X Yin, J Yang - Applied Energy, 2024 - Elsevier
How to extract the running feature information and realize multi-type faults diagnosis is the
key to carry out intelligent operation and maintenance of energy conversion machinery. The …

Attention-empowered transfer learning method for HVAC sensor fault diagnosis in dynamic building environments

B Feng, Q Zhou, J Xing, Q Yang, Y Chen… - Building and …, 2024 - Elsevier
Abstract The Heating, Ventilation and Air Conditioning (HVAC) system is a key system in
buildings for providing energy-saving and occupant-centered indoor services. Sensor fault …

[HTML][HTML] A data-driven approach for fault diagnosis in multi-zone HVAC systems: Deep neural bilinear Koopman parity

FN Irani, M Bakhtiaridoust, M Yadegar… - Journal of Building …, 2023 - Elsevier
Sensor faults in heating, ventilation, and air conditioning (HVAC) systems are inevitable and
result in significant energy waste. This paper presents an innovative data-driven approach …

A review on enhancing energy efficiency and adaptability through system integration for smart buildings

I Ahmed, M Asif, HH Alhelou, M Khalid - Journal of Building Engineering, 2024 - Elsevier
The increasing need for reducing carbon emissions and promoting smart, energy-saving
buildings is fueling the rising trend of sophisticated control systems. This study provides …

Advance and prospect of machine learning based fault detection and diagnosis in air conditioning systems

Y Guo, Y Liu, Y Wang, Z Wang, Z Zhang… - … and Sustainable Energy …, 2024 - Elsevier
Fault detection and diagnosis (FDD) are crucial aspects of maintaining efficient and energy-
saving heating ventilation and air conditioning (HVAC) systems. Conditions such as …