Chengdong Li
- (2023): 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 (Juli 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).
- (2022): 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 (Februar 2022).
- (2021): 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 (Dezember 2021).
- (2021): A novel temporal convolutional network via enhancing feature extraction for the chiller fault diagnosis. In: Journal of Building Engineering, v. 42 (Oktober 2021).
- (2021): A deep learning approach for fast detection and classification of concrete damage. In: Automation in Construction, v. 128 (August 2021).
- (2020): 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 (Oktober 2020).
- (2014): Structure of vacuum insulation panel in building system. In: Energy and Buildings, v. 85 (Dezember 2014).
- (2016): 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).
- (2019): 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 (März 2019).
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