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Yundan Liao 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. Zou, Binwei / Fan, Chengliang / Wang, Mo / Li, Jianjun / Zhou, Xiaoqing / Liao, Yundan (2025): How do urban-rural and regional summer heat exposures evolve? A case study of 301 cities in China from 2000 to 2020. Dans: Building and Environment, v. 271 (mars 2025).

    https://doi.org/10.1016/j.buildenv.2025.112584

  2. Fan, Chengliang / Zou, Binwei / Liao, Yundan / Zhou, Xiaoqing (2024): Evaluation of energy performance and ecological benefit of free-cooling system for data centers in worldwide climates. Dans: Sustainable Cities and Society, v. 108 (août 2024).

    https://doi.org/10.1016/j.scs.2024.105509

  3. Liao, Yundan / Huang, Gongsheng (2019): A hybrid predictive sequencing control for multi-chiller plant with considerations of indoor environment control, energy conservation and economical operation cost. Dans: Sustainable Cities and Society, v. 49 (août 2019).

    https://doi.org/10.1016/j.scs.2019.101616

  4. Fan, Chengliang / Ding, Yunfei / Liao, Yundan (2019): Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales. Dans: Sustainable Cities and Society, v. 51 (novembre 2019).

    https://doi.org/10.1016/j.scs.2019.101717

  5. Liao, Yundan / Huang, Gongsheng / Sun, Yongjun / zhang, Linfeng (2014): Uncertainty analysis for chiller sequencing control. Dans: Energy and Buildings, v. 85 (décembre 2014).

    https://doi.org/10.1016/j.enbuild.2014.09.037

  6. Fan, Chengliang / Liao, Yundan / Zhou, Guang / Zhou, Xiaoqing / Ding, Yunfei (2020): Improving cooling load prediction reliability for HVAC system using Monte-Carlo simulation to deal with uncertainties in input variables. Dans: Energy and Buildings, v. 226 (novembre 2020).

    https://doi.org/10.1016/j.enbuild.2020.110372

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