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Jingsi Zhang

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

  1. Liang, Yaowen / Yu, Jiangpeng / Xu, Runze / Zhang, Jingsi / Zhou, Xiang / Luo, Maohui (2024): Correlating working performance with thermal comfort, emotion, and fatigue evaluations through on-site study in office buildings. In: Building and Environment, v. 265 (November 2024).

    https://doi.org/10.1016/j.buildenv.2024.111960

  2. Jia, Xiaoyu / Pan, Yiqun / Zhu, Mingya / Zhu, Han / Li, Zhengrong / Zhang, Jingsi / Zhou, Xiang / Pan, Song / Wang, Chuang / Yan, Da / Wu, Zejun / Deng, Huiyan / Pan, Yuan / Xie, Jiantong / Xu, Lei (2023): Occupant behavior modules development for coupled simulation in DeST 3.0. In: Energy and Buildings, v. 297 (Oktober 2023).

    https://doi.org/10.1016/j.enbuild.2023.113437

  3. Zhang, Zhenhua / Gao, Xinxin / Shen, Hu / Zhang, Jingsi / Wang, Lei / Qian, Hui / Sheng, Piao (2023): A novel self-centering friction damper with elastic post-buckling plates to retrofit bridge bents. In: Soil Dynamics and Earthquake Engineering, v. 173 (Oktober 2023).

    https://doi.org/10.1016/j.soildyn.2023.108113

  4. Zhou, Xiang / Xu, Ling / Zhang, Jingsi / Ma, Lie / Zhang, Mingzheng / Luo, Maohui (2022): Development of data-driven thermal sensation prediction model using quality-controlled databases. In: Building Simulation, v. 15, n. 12 (August 2022).

    https://doi.org/10.1007/s12273-022-0911-2

  5. Feng, Jianguo / Wu, Cong / Zhang, Jingsi / Qin, Chaokui / Chen, Zhiguang (2022): Effect of Iron Ion on the Evaluation of Buried-Steel Pipeline Corrosion. In: Journal of Materials in Civil Engineering (ASCE), v. 34, n. 4 (April 2022).

    https://doi.org/10.1061/(asce)mt.1943-5533.0004151

  6. Zhou, Xiang / Liu, Yunliang / Zhang, Jingsi / Ye, Lifang / Luo, Maohui (2022): Radiant asymmetric thermal comfort evaluation for floor cooling system – A field study in office building. In: Energy and Buildings, v. 260 (April 2022).

    https://doi.org/10.1016/j.enbuild.2022.111917

  7. Zhang, Jingsi / Zhao, Ting / Zhou, Xiang / Wang, Jilong / Zhang, Xinyue / Qin, Chaokui / Luo, Maohui (2021): Room zonal location and activity intensity recognition model for residential occupant using passive-infrared sensors and machine learning. In: Building Simulation, v. 15, n. 6 (Dezember 2021).

    https://doi.org/10.1007/s12273-021-0870-z

  8. Zhang, Jingsi / Zhou, Xiang / Lei, Song / Luo, Maohui (2021): Energy and comfort performance of occupant-centric air conditioning strategy in office buildings with personal comfort devices. In: Building Simulation, v. 15, n. 5 (Oktober 2021).

    https://doi.org/10.1007/s12273-021-0852-1

  9. Zhang, Zhenhua / Zhang, Jingsi / Wang, Lei / Qian, Hui / Wang, Qinting / Sheng, Piao (2021): A novel lever-based-inerter-enhanced self-centering damping system to retrofit double-column bridge bent. In: Soil Dynamics and Earthquake Engineering, v. 151 (Dezember 2021).

    https://doi.org/10.1016/j.soildyn.2021.107003

  10. Luo, Maohui / Cao, Bin / Zhou, Xiang / Li, Min / Zhang, Jingsi / Ouyang, Qin / Zhu, Yingxin (2014): Can personal control influence human thermal comfort? A field study in residential buildings in China in winter. In: Energy and Buildings, v. 72 (April 2014).

    https://doi.org/10.1016/j.enbuild.2013.12.057

  11. Xie, Jiaqing / Li, Haoyang / Li, Chuting / Zhang, Jingsi / Luo, Maohui (2020): Review on occupant-centric thermal comfort sensing, predicting, and controlling. In: Energy and Buildings, v. 226 (November 2020).

    https://doi.org/10.1016/j.enbuild.2020.110392

  12. Luo, Maohui / Xie, Jiaqing / Yan, Yichen / Ke, Zhihao / Yu, Peiran / Wang, Zi / Zhang, Jingsi (2020): Comparing machine learning algorithms in predicting thermal sensation using ASHRAE Comfort Database II. In: Energy and Buildings, v. 210 (März 2020).

    https://doi.org/10.1016/j.enbuild.2020.109776

  13. Zhou, Xiang / Xu, Ling / Zhang, Jingsi / Niu, Bing / Luo, Maohui / Zhou, Guangya / Zhang, Xu (2020): Data-driven thermal comfort model via support vector machine algorithms: Insights from ASHRAE RP-884 database. In: Energy and Buildings, v. 211 (März 2020).

    https://doi.org/10.1016/j.enbuild.2020.109795

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