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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Niu, Menghan / Ji, Ying / Zhao, Miao / Gu, Jiefan / Li, Aonan (2024): A study on carbon emission calculation in operation stage of residential buildings based on micro electricity usage behavior: Three case studies in China. In: Building Simulation, v. 17, n. 1 (Januar 2024).

    https://doi.org/10.1007/s12273-023-1070-9

  2. Yang, Xinyu / Ji, Ying / Gu, Jiefan / Niu, Menghan (2023): An Electricity Consumption Disaggregation Method for HVAC Terminal Units in Sub-Metered Buildings Based on CART Algorithm. In: Buildings, v. 13, n. 4 (24 März 2023).

    https://doi.org/10.3390/buildings13040967

  3. Gu, Jiefan / Xu, Peng / Ji, Ying (2023): A Fast Method for Calculating the Impact of Occupancy on Commercial Building Energy Consumption. In: Buildings, v. 13, n. 2 (14 Februar 2023).

    https://doi.org/10.3390/buildings13020567

  4. Guan, Hang / Xiao, Tong / Luo, Wei / Gu, Jiefan / He, Ruikai / Xu, Peng (2022): Automatic fault diagnosis algorithm for hot water pipes based on infrared thermal images. In: Building and Environment, v. 218 (Juni 2022).

    https://doi.org/10.1016/j.buildenv.2022.109111

  5. Wang, Hongxin / Xu, Peng / Sha, Huajing / Gu, Jiefan / Xiao, Tong / Yang, Yikun / Zhang, Dingyi (2022): BIM-based automated design for HVAC system of office buildings—An experimental study. In: Building Simulation, v. 15, n. 7 (18 Februar 2022).

    https://doi.org/10.1007/s12273-021-0883-7

  6. Chen, Yongbao / Xu, Peng / Gu, Jiefan / Schmidt, Ferdinand / Li, Weilin (2018): Measures to improve energy demand flexibility in buildings for demand response (DR): A review. In: Energy and Buildings, v. 177 (Oktober 2018).

    https://doi.org/10.1016/j.enbuild.2018.08.003

  7. Pang, Zhihong / Xu, Peng / O'Neill, Zheng / Gu, Jiefan / Qiu, Shunian / Lu, Xing / Li, Xin (2018): Application of mobile positioning occupancy data for building energy simulation: An engineering case study. In: Building and Environment, v. 141 (August 2018).

    https://doi.org/10.1016/j.buildenv.2018.05.030

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