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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. Shen, Zhenglai / Shrestha, Som / Howard, Daniel / Feng, Tianli / Hun, Diana / She, Buxin (2023): Machine learning–assisted prediction of heat fluxes through thermally anisotropic building envelopes. Dans: Building and Environment, v. 234 (avril 2023).

    https://doi.org/10.1016/j.buildenv.2023.110157

  2. Cui, Borui / Dong, Jin / Lee, Seungjae / Im, Piljae / Salonvaara, Mikael / Hun, Diana / Shrestha, Som (2022): Model predictive control for active insulation in building envelopes. Dans: Energy and Buildings, v. 267 (juillet 2022).

    https://doi.org/10.1016/j.enbuild.2022.112108

  3. Shen, Bo / Shrestha, Som / Abdelaziz, Omar (2016): Model validations for low-global warming potential refrigerants in mini-split air-conditioning units. Dans: Science and Technology for the Built Environment, v. 22, n. 8 (novembre 2016).

    https://doi.org/10.1080/23744731.2016.1208538

  4. Shen, Zhenglai / Zhou, Hongyu / Shrestha, Som (2021): LCC-based framework for building envelope and structure co-design considering energy efficiency and natural hazard performance. Dans: Journal of Building Engineering, v. 35 (mars 2021).

    https://doi.org/10.1016/j.jobe.2020.102061

  5. Bhandari, Mahabir / Shrestha, Som / New, Joshua (2012): Evaluation of weather datasets for building energy simulation. Dans: Energy and Buildings, v. 49 (juin 2012).

    https://doi.org/10.1016/j.enbuild.2012.01.033

  6. Kośny, Jan / Asiz, Andi / Smith, Ian / Shrestha, Som / Fallahi, Ali (2014): A review of high R-value wood framed and composite wood wall technologies using advanced insulation techniques. Dans: Energy and Buildings, v. 72 (avril 2014).

    https://doi.org/10.1016/j.enbuild.2014.01.004

  7. Biswas, Kaushik / Patel, Tapan / Shrestha, Som / Smith, Douglas / Desjarlais, Andre (2019): Whole building retrofit using vacuum insulation panels and energy performance analysis. Dans: Energy and Buildings, v. 203 (novembre 2019).

    https://doi.org/10.1016/j.enbuild.2019.109430

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