Burkay Anduv 
- (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).
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