Xiangning Tian
- A self-organized optimal scheduling approach for integrated energy systems using bottom-up modelling. In: Journal of Building Engineering, v. 98 (Dezember 2024). (2024):
- Automated machine learning-based building energy load prediction method. In: Journal of Building Engineering, v. 80 (Dezember 2023). (2023):
- Clustering compression-based computation-efficient calibration method for digital twin modeling of HVAC system. In: Building Simulation, v. 16, n. 6 (März 2023). (2023):
- Causal discovery-based external attention in neural networks for accurate and reliable fault detection and diagnosis of building energy systems. In: Building and Environment, v. 222 (August 2022). (2022):
- Elastic weight consolidation-based adaptive neural networks for dynamic building energy load prediction modeling. In: Energy and Buildings, v. 265 (Juni 2022). (2022):