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