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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. Chen, Zheng / Zhao, Shulei / Dong, Chen / Wang, Shuaishuai / Guo, Yabin / Gao, Xuan / Sun, Bing / Chen, Wengan / Guo, Chun (2024): Three-stage numerical simulation of tunnel blasting dust diffusion based on field monitoring and CFD. Dans: Tunnelling and Underground Space Technology, v. 150 (août 2024).

    https://doi.org/10.1016/j.tust.2024.105830

  2. Guo, Yabin / Liu, Yaxin / Zhang, Zheng / Wang, Yuhua / Xue, Puning / Du, Congcong / Li, Weilin (2024): Research on fault detection and diagnosis of carbon dioxide heat pump systems in buildings based on transfer learning. Dans: Journal of Building Engineering, v. 85 (mai 2024).

    https://doi.org/10.1016/j.jobe.2024.108774

  3. Guo, Yabin / Zhang, Zheng / Liu, Yaxin / Wang, Yuhua / Xue, Puning (2023): An advanced ensemble clustering approach for data partitioning and mining to optimize performance in variable refrigerant flow systems. Dans: Journal of Building Engineering, v. 78 (novembre 2023).

    https://doi.org/10.1016/j.jobe.2023.107716

  4. Li, Guannan / Hu, Yunpeng / Chen, Huanxin / Li, Haorong / Hu, Min / Guo, Yabin / Shi, Shubiao / Hu, Wenju (2016): A sensor fault detection and diagnosis strategy for screw chiller system using support vector data description-based D-statistic and DV-contribution plots. Dans: Energy and Buildings, v. 133 (décembre 2016).

    https://doi.org/10.1016/j.enbuild.2016.09.037

  5. Guo, Yabin / Li, Guannan / Chen, Huanxin / Hu, Yunpeng / Li, Haorong / Xing, Lu / Hu, Wenju (2017): An enhanced PCA method with Savitzky-Golay method for VRF system sensor fault detection and diagnosis. Dans: Energy and Buildings, v. 142 (mai 2017).

    https://doi.org/10.1016/j.enbuild.2017.03.026

  6. Li, Guannan / Hu, Yunpeng / Chen, Huanxin / Wang, Jiangyu / Guo, Yabin / Liu, Jiangyan / Li, Jiong (2017): Identification and isolation of outdoor fouling faults using only built-in sensors in variable refrigerant flow system: A data mining approach. Dans: Energy and Buildings, v. 146 (juillet 2017).

    https://doi.org/10.1016/j.enbuild.2017.04.041

  7. Sun, Shaobo / Li, Guannan / Chen, Huanxin / Guo, Yabin / Wang, Jiangyu / Huang, Qianyun / Hu, Wenju (2017): Optimization of support vector regression model based on outlier detection methods for predicting electricity consumption of a public building WSHP system. Dans: Energy and Buildings, v. 151 (septembre 2017).

    https://doi.org/10.1016/j.enbuild.2017.06.056

  8. Hu, Min / Chen, Huanxin / Shen, Limei / Li, Guannan / Guo, Yabin / Li, Haorong / Li, Jiong / Hu, Wenju (2018): A machine learning bayesian network for refrigerant charge faults of variable refrigerant flow air conditioning system. Dans: Energy and Buildings, v. 158 (janvier 2018).

    https://doi.org/10.1016/j.enbuild.2017.10.012

  9. Ahmad, Tanveer / Chen, Huanxin / Guo, Yabin / Wang, Jiangyu (2018): A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review. Dans: Energy and Buildings, v. 165 (avril 2018).

    https://doi.org/10.1016/j.enbuild.2018.01.017

  10. Ding, Xinlei / Guo, Yabin / Liu, Tao / Liu, Qian / Chen, Huanxin (2021): New fault diagnostic strategies for refrigerant charge fault in a VRF system using hybrid machine learning method. Dans: Journal of Building Engineering, v. 33 (janvier 2021).

    https://doi.org/10.1016/j.jobe.2020.101577

  11. Xu, Chengliang / Chen, Huanxin / Wang, Jiangyu / Guo, Yabin / Yuan, Yue (2019): Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method. Dans: Building and Environment, v. 148 (janvier 2019).

    https://doi.org/10.1016/j.buildenv.2018.10.062

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