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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Cheng, Hengda / Liu, Zheng / Chen, Luyao / Chen, Huanxin (2023): Abnormal energy consumption detection using ensemble model for water chilling unit on HVAC system. Dans: Energy and Buildings, v. 297 (octobre 2023).

    https://doi.org/10.1016/j.enbuild.2023.113419

  2. Zhang, Li / Cheng, Yahao / Zhang, Jianxin / Chen, Huanxin / Cheng, Hengda / Gou, Wei (2023): Refrigerant charge fault diagnosis strategy for VRF systems based on stacking ensemble learning. Dans: Building and Environment, v. 234 (avril 2023).

    https://doi.org/10.1016/j.buildenv.2023.110209

  3. Zhang, Jianxin / Huang, Yao / Cheng, Hengda / Chen, Huanxin / Xing, Lu / He, Yuxuan (2023): Ensemble learning-based approach for residential building heating energy prediction and optimization. Dans: Journal of Building Engineering, v. 67 (mai 2023).

    https://doi.org/10.1016/j.jobe.2023.106051

  4. Li, Guannan / Wang, Luhan / Shen, Limei / Chen, Liang / Cheng, Hengda / Xu, Chengliang / Li, Fan (2023): Interpretation of convolutional neural network-based building HVAC fault diagnosis model using improved layer-wise relevance propagation. Dans: Energy and Buildings, v. 286 (mai 2023).

    https://doi.org/10.1016/j.enbuild.2023.112949

  5. Zhang, Jianxin / Li, Zhengfei / Chen, Huanxin / Cheng, Hengda / Xing, Lu / Wang, Yuzhou / Zhang, Li (2022): Integrated generative networks embedded with ensemble classifiers for fault detection and diagnosis under small and imbalanced data of building air condition system. Dans: Energy and Buildings, v. 268 (août 2022).

    https://doi.org/10.1016/j.enbuild.2022.112207

  6. Cheng, Hengda / Chen, Huanxin / Li, Zhengfei / Cheng, Xiangdong (2020): Ensemble 1-D CNN diagnosis model for VRF system refrigerant charge faults under heating condition. Dans: Energy and Buildings, v. 224 (octobre 2020).

    https://doi.org/10.1016/j.enbuild.2020.110256

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