| Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches C Fan, D Yan, F Xiao, A Li, J An, X Kang Building Simulation 14, 3-24, 2021 | 163 | 2021 |
| Attention-based interpretable neural network for building cooling load prediction A Li, F Xiao, C Zhang, C Fan Applied Energy 299, 117238, 2021 | 138 | 2021 |
| Smart detection of fire source in tunnel based on the numerical database and artificial intelligence X Wu, Y Park, A Li, X Huang, F Xiao, A Usmani Fire Technology 57, 657-682, 2021 | 113 | 2021 |
| Development of an ANN-based building energy model for information-poor buildings using transfer learning A Li, F Xiao, C Fan, M Hu Building simulation 14, 89-101, 2021 | 83 | 2021 |
| A review and reflection on open datasets of city-level building energy use and their applications X Jin, C Zhang, F Xiao, A Li, C Miller Energy and Buildings 285, 112911, 2023 | 30 | 2023 |
| GEIN: An interpretable benchmarking framework towards all building types based on machine learning X Jin, F Xiao, C Zhang, A Li Energy and Buildings 260, 111909, 2022 | 27 | 2022 |
| Distance measures in building informatics: An in-depth assessment through typical tasks in building energy management A Li, C Fan, F Xiao, Z Chen Energy and Buildings 258, 111817, 2022 | 16 | 2022 |
| Real-time energy performance benchmarking of electric vehicle air conditioning systems using adaptive neural network and Gaussian process regression F Guo, Z Chen, F Xiao, A Li, J Shi Applied Thermal Engineering 222, 119931, 2023 | 12 | 2023 |
| Graph neural network-based spatio-temporal indoor environment prediction and optimal control for central air-conditioning systems J Zhang, F Xiao, A Li, T Ma, K Xu, H Zhang, R Yan, X Fang, Y Li, D Wang Building and Environment 242, 110600, 2023 | 11 | 2023 |
| Dynamic model development for vehicle air conditioners based on physics-guided deep learning Z Chen, F Xiao, J Shi, A Li International Journal of Refrigeration 134, 126-138, 2022 | 9 | 2022 |
| Energy-oriented control retrofit for existing HVAC system adopting data-driven MPC–Methodology, implementation and field test B Yue, B Su, F Xiao, A Li, K Li, S Li, R Yan, Q Lian, A Li, Y Li, X Fang, ... Energy and Buildings 295, 113286, 2023 | 5 | 2023 |
| Behavior testing of load forecasting models using BuildChecks Y Deng, J Fan, H Jiang, F He, D Wang, A Li, F Xiao Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022 | 5 | 2022 |
| Large-scale comparison and demonstration of continual learning for adaptive data-driven building energy prediction A Li, C Zhang, F Xiao, C Fan, Y Deng, D Wang Applied Energy 347, 121481, 2023 | 4 | 2023 |
| The optimal control strategy for chilled water system in central air-conditioning systems A Li, F Wang, R Li, B Zhu, D Huang, G Chen IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 4 | 2017 |
| Improving the out-of-sample generalization ability of data-driven chiller performance models using physics-guided neural network F Guo, A Li, B Yue, Z Xiao, F Xiao, R Yan, A Li, Y Lv, B Su Applied Energy 354, 122190, 2024 | 1 | 2024 |
| Decomposition-based Data Augmentation for Time-series Building Load Data Y Deng, R Liang, D Wang, A Li, F Xiao Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 1 | 2023 |
| Investigating the deviation between prediction accuracy metrics and control performance metrics in the context of an ice-based thermal energy storage system X Wang, X Liu, Y Wang, X Kang, R Geng, A Li, F Xiao, C Zhang, D Yan Journal of Energy Storage 91, 112126, 2024 | | 2024 |
| Design information-assisted graph neural network for modeling central air conditioning systems A Li, J Zhang, F Xiao, C Fan, Y Yu, Z Chen Advanced Engineering Informatics 60, 102379, 2024 | | 2024 |
| Towards a Benchmark for ML-based Building Load Forecasting Model Selection for a Target Building Y Deng, R Liang, J Fan, A Li, D Wang Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | | 2023 |
| Development of a data-driven methodology for dynamic energy modeling of large buildings towards mass deployment of AI in smart buildings A Li Hong Kong Polytechnic University, 2023 | | 2023 |
XIAO, Fu LindaDepartment of Building Environment and Energy Engineering, The Hong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证
