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Chenyu Huang ORCID

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. Ren, Chongyang / Shi, Zewei / Tian, Hui / Zhao, Ranting / Huang, Chenyu / Qiao, Qingyao / Yao, Jiawei (2025): Estimating of the Causal Effect of Land Use Mixed on Adult Asthma Prevalence in New York State. Dans: Sustainable Cities and Society, v. 119 (février 2025).

    https://doi.org/10.1016/j.scs.2025.106125

  2. Li, Renge / Huang, Chenyu / Xin, Weilin / Ye, Jiahong / Zhang, Xue / Qu, Rong / Wang, Jinyu / Yuan, Liang / Yao, Jiawei (2025): Data-driven optimization reveals the impact of Urban Heat Island effect on the retrofit potential of building envelopes. Dans: Building and Environment, v. 269 (février 2025).

    https://doi.org/10.1016/j.buildenv.2024.112367

  3. Fu, Jiayan / An, Na / Huang, Chenyu / Shen, Yanting / Pan, Min / Wang, Jinyu / Yao, Jiawei / Yu, Zhongqi (2024): Chinese Household Carbon Footprint: Structural Differences, Influencing Factors, and Emission Reduction Strategies Analysis. Dans: Buildings, v. 14, n. 11 (22 octobre 2024).

    https://doi.org/10.3390/buildings14113451

  4. Shan, Jiazeng / Huang, Chenyu / Wang, Luji / Loong, Cheng Ning (2024): Data-driven prediction of natural period for existing RC high-rise buildings using probabilistic machine learning methods. Dans: Journal of Building Engineering, v. 90 (août 2024).

    https://doi.org/10.1016/j.jobe.2024.109394

  5. Ni, Haozhan / Wang, Daoyang / Zhao, Wenzhuo / Jiang, Wolin / Mingze, E. / Huang, Chenyu / Yao, Jiawei (2024): Enhancing rooftop solar energy potential evaluation in high-density cities: A Deep Learning and GIS based approach. Dans: Energy and Buildings, v. 309 (avril 2024).

    https://doi.org/10.1016/j.enbuild.2023.113743

  6. Yuan, Liang / Qu, Rong / Chen, Tianyu / An, Na / Huang, Chenyu / Yao, Jiawei (2023): Calibrating thermal sensation vote scales for different short_term thermal histories using ensemble learning. Dans: Building and Environment, v. 246 (décembre 2023).

    https://doi.org/10.1016/j.buildenv.2023.110998

  7. Ruan, Yingjun / Xu, Tingting / Chen, Guangyue / Zhou, Weiguo / Yao, Jiawei / Qian, Fanyue / Huang, Chenyu / Meng, Hua (2024): Collaborative optimization design for district distributed energy system based on energy station and pipeline network interactions. Dans: Sustainable Cities and Society, v. 100 (janvier 2024).

    https://doi.org/10.1016/j.scs.2023.105017

  8. Qiao, Renlu / Wu, Zhiqaing / Gao, Shuo / Jiang, Qingrui / Liu, Xiaochang / Huang, Chenyu / Xia, Li / Chen, Mingze (2023): Towards inclusive underground public transportation: Gender differences on thermal comfort. Dans: Building and Environment, v. 242 (août 2023).

    https://doi.org/10.1016/j.buildenv.2023.110569

  9. Lu, Yijun / Chen, Qiyue / Yu, Mengqing / Wu, Zihao / Huang, Chenyu / Fu, Jiayan / Yu, Zhongqi / Yao, Jiawei (2023): Exploring spatial and environmental heterogeneity affecting energy consumption in commercial buildings using machine learning. Dans: Sustainable Cities and Society, v. 95 (août 2023).

    https://doi.org/10.1016/j.scs.2023.104586

  10. Zhang, Xingzhao / Yang, Luqiao / Luo, Ruizhe / Wu, Hsin-Yu / Xu, Jiaqi / Huang, Chenyu / Ruan, Yingjun / Zheng, Xiaowei / Yao, Jiawei (2022): Estimating the outdoor environment of workers’ villages in East China using machine learning. Dans: Building and Environment, v. 226 (décembre 2022).

    https://doi.org/10.1016/j.buildenv.2022.109738

  11. Huang, Chenyu / Zhang, Gengjia / Yao, Jiawei / Wang, Xiaoxin / Calautit, John Kaiser / Zhao, Cairong / An, Na / Peng, Xi (2022): Accelerated environmental performance-driven design of the parametric urban block with generative adversarial network. Dans: Building and Environment, v. 224 (octobre 2022).

    https://doi.org/10.1016/j.buildenv.2022.109575

  12. Huang, Chenyu / Hu, Tingting / Duan, Yusen / Li, Qingyu / Chen, Nan / Wang, Qi / Zhou, Mengge / Rao, Pinhua (2022): Effect of urban morphology on air pollution distribution in high-density urban blocks based on mobile monitoring and machine learning. Dans: Building and Environment, v. 219 (juillet 2022).

    https://doi.org/10.1016/j.buildenv.2022.109173

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