Xu Zhu 
- (2023): Knowledge-extracted deep learning diagnosis and its cloud-based management for multiple faults of chiller. In: Building and Environment, v. 235 (Mai 2023).
- (2023): Deep learning GAN-based data generation and fault diagnosis in the data center HVAC system. In: Energy and Buildings, v. 289 (Juni 2023).
- (2023): Mechanical Properties of Steel Strand Cables Based on Zinc-5% Aluminium-Mixed Mischmetal Alloy-Coated Steel Wires Under Cyclic Loading–Unloading. In: International Journal of Civil Engineering, v. 21, n. 8 (April 2023).
- (2023): Interpretable mechanism mining enhanced deep learning for fault diagnosis of heating, ventilation and air conditioning systems. In: Building and Environment, v. 237 (Juni 2023).
- (2022): Across working conditions fault diagnosis for chillers based on IoT intelligent agent with deep learning model. In: Energy and Buildings, v. 268 (August 2022).
- (2022): Diagnosis for multiple faults of chiller using ELM-KNN model enhanced by multi-label learning and specific feature combinations. In: Building and Environment, v. 214 (April 2022).
- (2021): Transfer learning based methodology for migration and application of fault detection and diagnosis between building chillers for improving energy efficiency. In: Building and Environment, v. 200 (August 2021).
- (2021): Fault detection and diagnosis for the screw chillers using multi-region XGBoost model. In: Science and Technology for the Built Environment, v. 27, n. 5 (April 2021).
- (2021): Multi-sensor information fusion based control for VAV systems using thermal comfort constraints. In: Building Simulation, v. 14, n. 4 (Februar 2021).
- (2018): Evaluation of operation performance of a multi-chiller system using a data-based chiller model. In: Energy and Buildings, v. 172 (August 2018).
- (2019): Fault diagnosis based operation risk evaluation for air conditioning systems in data centers. In: Building and Environment, v. 163 (Oktober 2019).
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