Zhengfei Li
- (2022): Integrated generative networks embedded with ensemble classifiers for fault detection and diagnosis under small and imbalanced data of building air condition system. In: Energy and Buildings, v. 268 (August 2022).
- (2021): Research on diagnostic strategy for faults in VRF air conditioning system using hybrid data mining methods. In: Energy and Buildings, v. 247 (September 2021).
- (2020): Ensemble 1-D CNN diagnosis model for VRF system refrigerant charge faults under heating condition. In: Energy and Buildings, v. 224 (October 2020).
- (2020): Simulated Annealing Wrapped Generic Ensemble Fault Diagnostic Strategy for VRF System. In: Energy and Buildings, v. 224 (October 2020).
- (2018): Energy diagnosis of variable refrigerant flow (VRF) systems: Data mining technique and statistical quality control approach. In: Energy and Buildings, v. 175 (September 2018).
- (2020): Study on deep reinforcement learning techniques for building energy consumption forecasting. In: Energy and Buildings, v. 208 (February 2020).
- (2019): An efficient online wkNN diagnostic strategy for variable refrigerant flow system based on coupled feature selection method. In: Energy and Buildings, v. 183 (January 2019).
Structurae cooperates with
