- Adaptive fusion graph convolutional network based interpretable fault diagnosis method for HVAC systems enhanced by unlabeled data. Dans: Energy and Buildings, v. 324 (décembre 2024). (2024):
- A performance prediction method for on-site chillers based on dynamic graph convolutional network enhanced by association rules. Dans: Building Simulation, v. 17, n. 7 (27 juin 2024). (2024):
- Interpretable chiller fault diagnosis based on physics-guided neural networks. Dans: Journal of Building Engineering, v. 86 (juin 2024). (2024):
- A novel semi-supervised fault diagnosis method for chillers based on neighbor-optimized graph convolutional network. Dans: Energy and Buildings, v. 301 (décembre 2023). (2023):
- A novel two degree of freedom single magnet bistable energy harvester based on internal resonance. Dans: Smart Materials and Structures, v. 32, n. 1 (2 décembre 2022). (2022):
- A nonlinear magnetic and torsional spring coupling piezoelectric energy harvester with internal resonance. Dans: Smart Materials and Structures, v. 31, n. 11 (septembre 2022). (2022):
- A knowledge embedded graph neural network-based cooling load prediction method using dynamic data association. Dans: Energy and Buildings, v. 278 (janvier 2023). (2023):
- A variable reluctance based rotational electromagnetic harvester for the high-speed smart bearing. Dans: Smart Materials and Structures, v. 31, n. 4 (février 2022). (2022):
- Prediction of the axial compressive strength of circular concrete-filled steel tube columns using sine cosine algorithm-support vector regression. Dans: Composite Structures, v. 273 (octobre 2021). (2021):