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Xiangyang Jiang

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. Wang, Pengcheng / Liu, Zhongbing / Wu, Jiani / Liao, Hongjing / Jiang, Xiangyang / Chen, Hailong (2024): Experimental and numerical study of adaptive ventilation and sunlight regulation building envelope combining variable transparency shape-stabilized phase change material. Dans: Building and Environment, v. 248 (janvier 2024).

    https://doi.org/10.1016/j.buildenv.2023.111095

  2. Dong, Yuanyuan / Zhang, Ling / Wang, Pengcheng / Liu, Zhongbing / Su, Xiaosong / Liao, Hongjing / Jiang, Xiangyang (2023): Potential evaluation of energy flexibility and energy-saving of PCM-integrated office building walls. Dans: Journal of Building Engineering, v. 79 (novembre 2023).

    https://doi.org/10.1016/j.jobe.2023.107857

  3. Peng, Ting / Fang, Wenxiang / Jiang, Xiangyang / Yang, Yanping / Fang, Zhaosong / Zheng, Zhimin (2022): Comparison of the thermal comfort of pregnant women at different stages of pregnancy in a subtropical region. Dans: Building and Environment, v. 219 (juillet 2022).

    https://doi.org/10.1016/j.buildenv.2022.109121

  4. Peng, Ting / Zhang, Yuchun / Jiang, Xiangyang / Yang, Yanping / Fang, Zhaosong / Zheng, Zhimin (2021): Investigation of pregnant women thermal comfort in the waiting area of the hospital in South China, Guangzhou. Dans: Journal of Building Engineering, v. 44 (décembre 2021).

    https://doi.org/10.1016/j.jobe.2021.103254

  5. Li, Yehong / Hu, Shushan / Hoare, Cathal / O'Donnell, James / García-Castro, Raúl / Vega-Sánchez, Sergio / Jiang, Xiangyang (2021): An information sharing strategy based on linked data for net zero energy buildings and clusters. Dans: Automation in Construction, v. 124 (avril 2021).

    https://doi.org/10.1016/j.autcon.2021.103592

  6. Zhou, Chonggang / Fang, Zhaosong / Xu, Xiaoning / Zhang, Xuelin / Ding, Yunfei / Jiang, Xiangyang / Ji, Ying (2020): Using long short-term memory networks to predict energy consumption of air-conditioning systems. Dans: Sustainable Cities and Society, v. 55 (avril 2020).

    https://doi.org/10.1016/j.scs.2019.102000

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