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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. Wu, Yanpeng / Jin, Meitong / Zhang, Tianhu (2023): Trade-Off Judgement for Daylighting and Energy Consumption in the High and Large Space of the University Gymnasium in Beijing. Dans: Buildings, v. 14, n. 1 (31 décembre 2023).

    https://doi.org/10.3390/buildings14010286

  2. Qiang, Guo / Fuxi, Wang / Yi, Gao / Yuanjun, Liu / Yang, Liu / Zhang, Tianhu (2023): Study on the performance of an ultra-low energy building in the Qinghai-Tibet Plateau of China. Dans: Journal of Building Engineering, v. 70 (juillet 2023).

    https://doi.org/10.1016/j.jobe.2023.106345

  3. Zhang, Tianhu / Zhang, Yuxin / Li, Aoqi / Gao, Yi / Rao, Yandi / Zhao, Qingxin (2022): Study on the kinetic characteristics of indoor air pollutants removal by ventilation. Dans: Building and Environment, v. 207 (janvier 2022).

    https://doi.org/10.1016/j.buildenv.2021.108535

  4. Zhang, Tianhu / Li, Xiaopeng / Zhao, Qingxin / Rao, Yandi (2019): Control of a novel synthetical index for the local indoor air quality by the artificial neural network and genetic algorithm. Dans: Sustainable Cities and Society, v. 51 (novembre 2019).

    https://doi.org/10.1016/j.scs.2019.101714

  5. Zhang, Tianhu / Li, Xiaopeng / Rao, Yandi / Liu, Yuanjun / Zhao, Qingxin (2020): Removal of formaldehyde in urban office building by the integration of ventilation and photocatalyst-coated window. Dans: Sustainable Cities and Society, v. 55 (avril 2020).

    https://doi.org/10.1016/j.scs.2020.102050

  6. Zhang, Tianhu / Hari, Qiga / Zhao, Qingxin (2018): The use of the interval Pareto sorting method in simulation-based design of an indoor environment. Dans: Science and Technology for the Built Environment, v. 24, n. 4 (mars 2018).

    https://doi.org/10.1080/23744731.2017.1394142

  7. Zhang, Tianhu / Liu, Yuanjun / Rao, Yandi / Li, Xiaopeng / Zhao, Qingxin (2020): Optimal design of building environment with hybrid genetic algorithm, artificial neural network, multivariate regression analysis and fuzzy logic controller. Dans: Building and Environment, v. 175 (mai 2020).

    https://doi.org/10.1016/j.buildenv.2020.106810

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