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Publicité

Siyue Guo

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. Guan, Xinmeng / Guo, Siyue / Xiong, Jie / Jia, Guowei / Fan, Jing-Li (2023): Energy-related CO2 emissions of urban and rural residential buildings in China: A provincial analysis based on end-use activities. Dans: Journal of Building Engineering, v. 64 (avril 2023).

    https://doi.org/10.1016/j.jobe.2022.105686

  2. Zhang, Yang / Hu, Shan / Yan, Da / Guo, Siyue / Li, Pengcheng (2021): Exploring cooling pattern of low-income households in urban China based on a large-scale questionnaire survey: A case study in Beijing. Dans: Energy and Buildings, v. 236 (avril 2021).

    https://doi.org/10.1016/j.enbuild.2021.110783

  3. Xu, Jieyan / Kang, Xuyuan / Chen, Zheng / Yan, Da / Guo, Siyue / Jin, Yuan / Hao, Tianyi / Jia, Rongda (2020): Clustering-based probability distribution model for monthly residential building electricity consumption analysis. Dans: Building Simulation, v. 14, n. 1 (novembre 2020).

    https://doi.org/10.1007/s12273-020-0710-6

  4. Guo, Siyue / Yan, Da / Gui, Chenxi (2020): The typical hot year and typical cold year for modeling extreme events impacts on indoor environment: A generation method and case study. Dans: Building Simulation, v. 13, n. 3 (avril 2020).

    https://doi.org/10.1007/s12273-020-0617-2

  5. Gui, Chenxi / Yan, Da / Hong, Tianzhen / Xiao, Chan / Guo, Siyue / Tao, Yifan (2021): Vertical meteorological patterns and their impact on the energy demand of tall buildings. Dans: Energy and Buildings, v. 232 (février 2021).

    https://doi.org/10.1016/j.enbuild.2020.110624

  6. Peng, Chen / Yan, Da / Guo, Siyue / Hu, Shan / Jiang, Yi (2015): Building energy use in China: Ceiling and scenario. Dans: Energy and Buildings, v. 102 (septembre 2015).

    https://doi.org/10.1016/j.enbuild.2015.05.049

  7. Hu, Shan / Yan, Da / Guo, Siyue / Cui, Ying / Dong, Bing (2017): A survey on energy consumption and energy usage behavior of households and residential building in urban China. Dans: Energy and Buildings, v. 148 (août 2017).

    https://doi.org/10.1016/j.enbuild.2017.03.064

  8. Guo, Siyue / Yan, Da / Hu, Shan / An, Jingjing (2020): Global comparison of building energy use data within the context of climate change. Dans: Energy and Buildings, v. 226 (novembre 2020).

    https://doi.org/10.1016/j.enbuild.2020.110362

  9. An, Jingjing / Yan, Da / Guo, Siyue / Gao, Yan / Peng, Jinqing / Hong, Tianzhen (2020): An improved method for direct incident solar radiation calculation from hourly solar insolation data in building energy simulation. Dans: Energy and Buildings, v. 227 (novembre 2020).

    https://doi.org/10.1016/j.enbuild.2020.110425

  10. Hu, Shan / Yan, Da / An, Jingjing / Guo, Siyue / Qian, Mingyang (2019): Investigation and analysis of Chinese residential building occupancy with large-scale questionnaire surveys. Dans: Energy and Buildings, v. 193 (juin 2019).

    https://doi.org/10.1016/j.enbuild.2019.04.007

  11. Guo, Siyue / Yan, Da / Peng, Chen / Cui, Ying / Zhou, Xin / Hu, Shan (2015): Investigation and analyses of residential heating in the HSCW climate zone of China: Status quo and key features. Dans: Building and Environment, v. 94 (décembre 2015).

    https://doi.org/10.1016/j.buildenv.2015.10.004

  12. Sun, Kaiyu / Yan, Da / Hong, Tianzhen / Guo, Siyue (2014): Stochastic modeling of overtime occupancy and its application in building energy simulation and calibration. Dans: Building and Environment, v. 79 (septembre 2014).

    https://doi.org/10.1016/j.buildenv.2014.04.030

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