Chengdong Li
- Imbalanced data based fault diagnosis of the chiller via integrating a new resampling technique with an improved ensemble extreme learning machine. In: Journal of Building Engineering, v. 70 (July 2023). (2023):
- A method of concrete damage detection and localization based on weakly supervised learning. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 7 (November 2023). (2023):
- Images based fault diagnosis of air handling unit via combining kernel slow feature analysis and deep learning method. In: Journal of Building Engineering, v. 56 (September 2022). (2022):
- Fault detection and diagnosis of the air handling unit via combining the feature sparse representation based dynamic SFA and the LSTM network. In: Energy and Buildings, v. 269 (August 2022). (2022):
- Daily power demand prediction for buildings at a large scale using a hybrid of physics-based model and generative adversarial network. In: Building Simulation, v. 15, n. 9 (February 2022). (2022):
- Fault detection and diagnosis of the air handling unit via an enhanced kernel slow feature analysis approach considering the time-wise and batch-wise dynamics. In: Energy and Buildings, v. 253 (December 2021). (2021):
- A novel temporal convolutional network via enhancing feature extraction for the chiller fault diagnosis. In: Journal of Building Engineering, v. 42 (October 2021). (2021):
- A deep learning approach for fast detection and classification of concrete damage. In: Automation in Construction, v. 128 (August 2021). (2021):
- Studies on the size effects of nano-TiO2 on Portland cement hydration with different water to solid ratios. In: Construction and Building Materials, v. 259 (October 2020). (2020):
- Structure of vacuum insulation panel in building system. In: Energy and Buildings, v. 85 (December 2014). (2014):
- Thermo-physical properties of polyester fiber reinforced fumed silica/hollow glass microsphere composite core and resulted vacuum insulation panel. In: Energy and Buildings, v. 125 (August 2016). (2016):
- A novel data-temporal attention network based strategy for fault diagnosis of chiller sensors. In: Energy and Buildings, v. 198 (September 2019). (2019):
- Data driven parallel prediction of building energy consumption using generative adversarial nets. In: Energy and Buildings, v. 186 (March 2019). (2019):