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Xiangyang Jiang

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  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. In: Building and Environment, v. 248 (January 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. In: Journal of Building Engineering, v. 79 (November 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. In: Building and Environment, v. 219 (July 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. In: Journal of Building Engineering, v. 44 (December 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. In: Automation in Construction, v. 124 (April 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. In: Sustainable Cities and Society, v. 55 (April 2020).

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

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