Ke Yan
Postgraduate:
Main Appointment:
Joint Appointments:
Research Fields:
Research Areas:
Research Fields:
- STEMM – Science, Technology, Engineering, Mathematics, Medical Sciences
Research Keywords:
Current Appointments:
Brief Description of Research:
Artificial Intelligence
Machine Learning
Big Data
Smart Building Design
Energy Solutions using AI Technology
Total Number of Publications:
Five Representative Publications:
• Ke Yan. Chiller fault detection and diagnosis with anomaly detective generative adversarial network. Building and Environment, 107982, Early Access, 2021
• Ke Yan, Jianye Su, Jing Huang, and Yuchang Mo. Chiller Fault Diagnosis Based on VAE Enabled Generative Adversarial Networks. IEEE Transactions on Automation Science and Engineering, Early Access, 2020
• Ke Yan, Adrian Chong, and Yuchang Mo. Generative adversarial network for fault detection diagnosis of chillers. Building and Environment 172: 106698, 2020
• Ke Yan, Jing Huang, Wen Shen, and Zhiwei Ji. Unsupervised learning for fault detection and diagnosis of air handling units. Energy and Buildings, 210: 109689, 2019
• Ning Jin, Yongkang Zeng, Ke Yan*, and Zhiwei Ji. Multivariate Air Quality Forecasting with Nested LSTM Neural Network. IEEE Transactions on Industrial Informatics, Early Access, 2021
My Research Videos:
Top 5 Publications:
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Journals Published:
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Appointments
Education
Research Areas
Research Description
Artificial Intelligence
Machine Learning
Big Data
Smart Building Design
Energy Solutions using AI Technology
Research Videos
Selected Publications
• Ke Yan. Chiller fault detection and diagnosis with anomaly detective generative adversarial network. Building and Environment, 107982, Early Access, 2021
• Ke Yan, Jianye Su, Jing Huang, and Yuchang Mo. Chiller Fault Diagnosis Based on VAE Enabled Generative Adversarial Networks. IEEE Transactions on Automation Science and Engineering, Early Access, 2020
• Ke Yan, Adrian Chong, and Yuchang Mo. Generative adversarial network for fault detection diagnosis of chillers. Building and Environment 172: 106698, 2020
• Ke Yan, Jing Huang, Wen Shen, and Zhiwei Ji. Unsupervised learning for fault detection and diagnosis of air handling units. Energy and Buildings, 210: 109689, 2019
• Ning Jin, Yongkang Zeng, Ke Yan*, and Zhiwei Ji. Multivariate Air Quality Forecasting with Nested LSTM Neural Network. IEEE Transactions on Industrial Informatics, Early Access, 2021