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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. Zhang, Chengyu / Luo, Zhiwen / Rezgui, Yacine / Zhao, Tianyi (2024): Enhancing multi-scenario data-driven energy consumption prediction in campus buildings by selecting appropriate inputs and improving algorithms with attention mechanisms. Dans: Energy and Buildings, v. 311 (mai 2024).

    https://doi.org/10.1016/j.enbuild.2024.114133

  2. Zhang, Chengyu / Ma, Liangdong / Han, Xing / Zhao, Tianyi (2023): Improving building energy consumption prediction using occupant-building interaction inputs and improved swarm intelligent algorithms. Dans: Journal of Building Engineering, v. 73 (août 2023).

    https://doi.org/10.1016/j.jobe.2023.106671

  3. Zhang, Chao / Guan, Tianhao / Zhang, Xingyue / Zhang, Chengyu / Wang, Bo / Suo, Tao (2023): Tensile properties of 2D-C/SiC composites at temperatures up to 1873 K at wide-ranging strain rates. Dans: Composite Structures, v. 319 (septembre 2023).

    https://doi.org/10.1016/j.compstruct.2023.117110

  4. Zhao, Tianyi / Zhang, Chengyu / Ujeed, Terigele / Ma, Liangdong (2022): Methods on reflecting electricity consumption change characteristics and electricity consumption forecasting based on clustering algorithms and fuzzy matrices in buildings. Dans: Building Services Engineering Research and Technology, v. 43, n. 6 (août 2022).

    https://doi.org/10.1177/01436244221122851

  5. Chen, Zhi / Chen, Sili / Zhou, Yuwan / Zhang, Chengyu / Meng, Tiantian / Jiang, Shuangshuang / Liu, Liwen / Hu, Guiquan (2022): Effect of incorporation of rice husk ash and iron ore tailings on properties of concrete. Dans: Construction and Building Materials, v. 338 (juillet 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.127584

  6. Zhang, Chengyu / Zhao, Tianyi / Li, Kuishan (2021): Quantitative correlation models between electricity consumption and behaviors about lighting, sockets and others for electricity consumption prediction in typical campus buildings. Dans: Energy and Buildings, v. 253 (décembre 2021).

    https://doi.org/10.1016/j.enbuild.2021.111510

  7. Zhao, Tianyi / Zhang, Chengyu / Xu, Jingwen / Wu, Yifan / Ma, Liangdong (2021): Data-driven correlation model between human behavior and energy consumption for college teaching buildings in cold regions of China. Dans: Journal of Building Engineering, v. 38 (juin 2021).

    https://doi.org/10.1016/j.jobe.2020.102093

  8. Zhao, Tianyi / Xu, Jingwen / Zhang, Chengyu / Wang, Peng (2021): A monitoring data based bottom-up modeling method and its application for energy consumption prediction of campus building. Dans: Journal of Building Engineering, v. 35 (mars 2021).

    https://doi.org/10.1016/j.jobe.2020.101962

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