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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. Li, Qi / Wang, Wei / Yu, Zhun / Chen, Jiayu (2023): Assessing urban micro-climates with vertical and horizontal building morphological cutting deep transfer learning neural networks. Dans: Building and Environment, v. 234 (avril 2023).

    https://doi.org/10.1016/j.buildenv.2023.110186

  2. Yu, Zhun / Fung, Benjamin C. M. / Haghighat, Fariborz (2013): Extracting knowledge from building-related data — A data mining framework. Dans: Building Simulation, v. 6, n. 2 (mai 2013).

    https://doi.org/10.1007/s12273-013-0117-8

  3. Yu, Zhun / Haghighat, Fariborz / Fung, Benjamin C. M. / Yoshino, Hiroshi (2010): A decision tree method for building energy demand modeling. Dans: Energy and Buildings, v. 42, n. 10 (octobre 2010).

    https://doi.org/10.1016/j.enbuild.2010.04.006

  4. Yu, Zhun / Fung, Benjamin C. M. / Haghighat, Fariborz / Yoshino, Hiroshi / Morofsky, Edward (2011): A systematic procedure to study the influence of occupant behavior on building energy consumption. Dans: Energy and Buildings, v. 43, n. 6 (juin 2011).

    https://doi.org/10.1016/j.enbuild.2011.02.002

  5. Ma, Rui / Geng, Chuanzhi / Yu, Zhun / Chen, Jiayu / Luo, Xiaowei (2019): Modeling city-scale building energy dynamics through inter-connected distributed adjacency blocks. Dans: Energy and Buildings, v. 202 (novembre 2019).

    https://doi.org/10.1016/j.enbuild.2019.109391

  6. Li, Jun / Panchabikesan, Karthik / Yu, Zhun / Haghighat, Fariborz / El Mankibi, Mohamed / Corgier, David (2019): Systematic data mining-based framework to discover potential energy waste patterns in residential buildings. Dans: Energy and Buildings, v. 199 (septembre 2019).

    https://doi.org/10.1016/j.enbuild.2019.07.032

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