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