Zhenxin Zhou
- (2023): Development of a hybrid VRF system energy consumption prediction model based on data partitioning and swarm intelligence algorithm. In: Journal of Building Engineering, v. 74 (September 2023).
- (2023): Experimental research on the performance and parameters sensitivity analysis of variable refrigerant flow system with common faults imposed in heating mode. In: Energy and Buildings, v. 278 (Januar 2023).
- (2021): An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems. In: Building and Environment, v. 203 (Oktober 2021).
- (2021): An improved stacking ensemble learning-based sensor fault detection method for building energy systems using fault-discrimination information. In: Journal of Building Engineering, v. 43 (November 2021).
- (2021): Mechanical properties of engineered cementitious composites beams fabricated by extrusion-based 3D printing. In: Engineering Structures, v. 238 (Juli 2021).
- (2021): Fault diagnosis method for building VRF system based on convolutional neural network: Considering system defrosting process and sensor fault coupling. In: Building and Environment, v. 195 (Mai 2021).
- (2020): A comparison study of basic data-driven fault diagnosis methods for variable refrigerant flow system. In: Energy and Buildings, v. 224 (Oktober 2020).
- (2019): Modal decomposition based ensemble learning for ground source heat pump systems load forecasting. In: Energy and Buildings, v. 194 (Juli 2019).
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