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Mingyang Qian

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. Qian, Mingyang / Hu, Shan / Wu, Yi / Liu, Hua / Yan, Da (2024): Quantitative index for temporal and spatial patterns of occupant behavior based on VRF big data. Dans: Energy and Buildings, v. 322 (novembre 2024).

    https://doi.org/10.1016/j.enbuild.2024.114683

  2. Wu, Yi / Hu, Shan / Qian, Mingyang / Xiong, Jianguo / Yan, Da (2024): Advanced analysis of operating parameters utilizing big data to improve building cooling equipment energy efficiency standards. Dans: Sustainable Cities and Society, v. 109 (août 2024).

    https://doi.org/10.1016/j.scs.2024.105539

  3. Wu, Yi / An, Jingjing / Qian, Mingyang / Yan, Da (2023): Application-driven level-of-detail modeling framework for occupant air-conditioning behavior in district cooling. Dans: Journal of Building Engineering, v. 70 (juillet 2023).

    https://doi.org/10.1016/j.jobe.2023.106401

  4. Wu, Yi / Zhou, Xin / Qian, Mingyang / Yuan, Jin / Sun, Hongsan / Yan, Da (2023): Novel approach to typical air-conditioning behavior pattern extraction based on large-scale VRF system online monitoring data. Dans: Journal of Building Engineering, v. 69 (juin 2023).

    https://doi.org/10.1016/j.jobe.2023.106243

  5. Liu, Hua / Wu, Yi / Yan, Da / Hu, Shan / Qian, Mingyang (2022): Investigation of VRF system cooling operation and performance in residential buildings based on large-scale dataset. Dans: Journal of Building Engineering, v. 61 (décembre 2022).

    https://doi.org/10.1016/j.jobe.2022.105219

  6. Qian, Mingyang / Yan, Da / Liu, Hua / Berardi, Umberto / Liu, Ye (2020): Power consumption and energy efficiency of VRF system based on large scale monitoring virtual sensors. Dans: Building Simulation, v. 13, n. 5 (septembre 2020).

    https://doi.org/10.1007/s12273-020-0670-x

  7. Qian, Mingyang / Yan, Da / An, Jingjing / Hong, Tianzhen / Spitler, Jeffrey D. (2020): Evaluation of thermal imbalance of ground source heat pump systems in residential buildings in China. Dans: Building Simulation, v. 13, n. 3 (avril 2020).

    https://doi.org/10.1007/s12273-020-0606-5

  8. Zhang, Lun / Jing, Jun / Duan, Mengfan / Qian, Mingyang / Yan, Da / Zhang, Xiaosong (2020): Analysis of district cooling system with chilled water thermal storage in hot summer and cold winter area of China. Dans: Building Simulation, v. 13, n. 2 (février 2020).

    https://doi.org/10.1007/s12273-019-0581-x

  9. Qian, Mingyang / Yan, Da / Hong, Tianzhen / Liu, Hua (2021): Operation and performance of VRF systems: Mining a large-scale dataset. Dans: Energy and Buildings, v. 230 (janvier 2021).

    https://doi.org/10.1016/j.enbuild.2020.110519

  10. Hu, Shan / Yan, Da / Qian, Mingyang (2019): Using bottom-up model to analyze cooling energy consumption in China's urban residential building. Dans: Energy and Buildings, v. 202 (novembre 2019).

    https://doi.org/10.1016/j.enbuild.2019.109352

  11. 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

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