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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Deng, Jiahui / Li, Guannan / Wu, Yubei / Chen, Jian / Fang, Xi / Xu, Chengliang (2024): A hybrid transfer learning to continual learning strategy for improving cross-building energy prediction in data increment scenario. In: Journal of Building Engineering, v. 95 (Oktober 2024).

    https://doi.org/10.1016/j.jobe.2024.110093

  2. Shi, Xing / Gong, Guangcai / Fang, Xi / Wang, Yuxin / Huang, Yuting / An, Jinlin / Wang, Hongshun (2024): Experimental and a dual-scale analysis of the influence of coating on humidity control ability of hygroscopic materials with different porosity. In: Construction and Building Materials, v. 426 (Mai 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.136163

  3. Chen, Liang / Li, Guannan / Liu, Jiangyan / Liu, Lamei / Zhang, Chunzhi / Gao, Jiajia / Xu, Chengliang / Fang, Xi / Yao, Zhanpeng (2024): Fault diagnosis for cross-building energy systems based on transfer learning and model interpretation. In: Journal of Building Engineering, v. 91 (August 2024).

    https://doi.org/10.1016/j.jobe.2024.109424

  4. Peng, Pei / Zhang, Chen / Li, Wenqiang / Pomianowski, Michal / Gong, Guangcai / Fang, Xi / Chun, Liang / Guo, Rui (2023): Investigation on indoor airflow and contaminant dispersion of diffuse ceiling ventilation in heating and cooling modes. In: Journal of Building Engineering, v. 80 (Dezember 2023).

    https://doi.org/10.1016/j.jobe.2023.107972

  5. Li, Guannan / Wu, Yubei / Yan, Chengchu / Fang, Xi / Li, Tao / Gao, Jiajia / Xu, Chengliang / Wang, Zixi (2024): An improved transfer learning strategy for short_term cross-building energy prediction using data incremental. In: Building Simulation, v. 17, n. 1 (Januar 2024).

    https://doi.org/10.1007/s12273-023-1053-x

  6. Li, Guannan / Chen, Liang / Fan, Cheng / Li, Tao / Xu, Chengliang / Fang, Xi (2023): Interpretation and explanation of convolutional neural network-based fault diagnosis model at the feature-level for building energy systems. In: Energy and Buildings, v. 295 (September 2023).

    https://doi.org/10.1016/j.enbuild.2023.113326

  7. Liu, Dong / Yuan, Lunrui / Chun, Liang / Gong, Guangcai / Fang, Xi / Wang, Hongshun / Yang, Bing / Yang, Yahua / Shang, Yu / Peng, Pei (2023): Thermodynamic performance analysis of a novel air conditioning system integrating solar absorption compression refrigeration and vacuum membrane-based dehumidification (SACV). In: Energy and Buildings, v. 288 (Juni 2023).

    https://doi.org/10.1016/j.enbuild.2023.113021

  8. Fang, Xi / Gong, Guangcai / Li, Guannan / Chun, Liang / Peng, Pei / Shi, Xing (2023): Transferability investigation of a Sim2Real deep transfer learning framework for cross-building energy prediction. In: Energy and Buildings, v. 287 (Mai 2023).

    https://doi.org/10.1016/j.enbuild.2023.112968

  9. Li, Guannan / Wu, Yubei / Liu, Jiangyan / Fang, Xi / Wang, Zixi (2022): Performance evaluation of short-term cross-building energy predictions using deep transfer learning strategies. In: Energy and Buildings, v. 275 (November 2022).

    https://doi.org/10.1016/j.enbuild.2022.112461

  10. Li, Guannan / Li, Fan / Xu, Chengliang / Fang, Xi (2022): A spatial-temporal layer-wise relevance propagation method for improving interpretability and prediction accuracy of LSTM building energy prediction. In: Energy and Buildings, v. 271 (September 2022).

    https://doi.org/10.1016/j.enbuild.2022.112317

  11. Fang, Xi / Gong, Guangcai / Li, Guannan / Chun, Liang / Peng, Pei / Li, Wenqiang (2021): A general multi-source ensemble transfer learning framework integrate of LSTM-DANN and similarity metric for building energy prediction. In: Energy and Buildings, v. 252 (Dezember 2021).

    https://doi.org/10.1016/j.enbuild.2021.111435

  12. Li, Guannan / Zhao, Xiaowei / Fan, Cheng / Fang, Xi / Li, Fan / Wu, Yubei (2021): Assessment of long short-term memory and its modifications for enhanced short-term building energy predictions. In: Journal of Building Engineering, v. 43 (November 2021).

    https://doi.org/10.1016/j.jobe.2021.103182

  13. Peng, Pei / Gong, Guangcai / Chun, Liang / Fang, Xi / Li, Wenqiang (2021): Investigation of physiological and subjective responses under composite air carrying energy radiant air-conditioning system. In: Journal of Building Engineering, v. 43 (November 2021).

    https://doi.org/10.1016/j.jobe.2021.103146

  14. Li, Guannan / Yao, Qing / Fan, Cheng / Zhou, Chunlin / Wu, Guanghai / Zhou, Zhenxin / Fang, Xi (2021): An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems. In: Building and Environment, v. 203 (Oktober 2021).

    https://doi.org/10.1016/j.buildenv.2021.108057

  15. Li, Guannan / Zheng, Yue / Liu, Jiangyan / Zhou, Zhenxin / Xu, Chengliang / Fang, Xi / Yao, Qing (2021): An improved stacking ensemble learning-based sensor fault detection method for building energy systems using fault-discrimination information. In: Journal of Building Engineering, v. 43 (November 2021).

    https://doi.org/10.1016/j.jobe.2021.102812

  16. Tian, Jiawen / Wang, Tianmiao / Fang, Xi / Shi, Zhen-Yun (2020): Design, Fabrication and Modeling Analysis of a Spiral Support Structure with Superelastic Ni-Ti Shape Memory Alloy for Continuum Robot. In: Smart Materials and Structures, v. 29, n. 4 (Februar 2020).

    https://doi.org/10.1088/1361-665x/ab72eb

  17. Hao, Yufei / Liu, Zemin / Liu, Jiaqi / Fang, Xi / fang, bin / Nie, Shilin / Guan, Ying Chun / sun, fuchun / Wang, Tianmiao / Wen, Li (2020): A soft gripper with programmable effective length, tactile and curvature sensory feedback. In: Smart Materials and Structures, v. 29, n. 3 (27 Januar 2020).

    https://doi.org/10.1088/1361-665x/ab6759

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