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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. Li, Xuelai / Yang, Xincong / Feng, Kailun / Liu, Changyong: Automatic monitoring the risk coupling of foundation pits: integrated point cloud, computer vision and Bayesian networks approach. In: Engineering, Construction and Architectural Management.

    https://doi.org/10.1108/ecam-02-2024-0149

  2. Chen, Shiwei / Ye, Zhukai / Lu, Weizhuo / Feng, Kailun (2024): Exploring Performance of Using SCM Concrete: Investigating Impacts Shifting along Concrete Supply Chain and Construction. In: Buildings, v. 14, n. 7 (2 Juli 2024).

    https://doi.org/10.3390/buildings14072186

  3. Feng, Kailun / Chokwitthaya, Chanachok / Lu, Weizhuo (2024): Exploring occupant behaviors and interactions in buildings with energy-efficient renovations: A hybrid virtual-physical experimental approach. In: Building and Environment, v. 265 (November 2024).

    https://doi.org/10.1016/j.buildenv.2024.111991

  4. Reddy Penaka, Santhan / Feng, Kailun / Olofsson, Thomas / Rebbling, Anders / Lu, Weizhuo (2024): Improved energy retrofit decision making through enhanced bottom-up building stock modelling. In: Energy and Buildings, v. 318 (September 2024).

    https://doi.org/10.1016/j.enbuild.2024.114492

  5. Yu, Haitao / Feng, Kailun / Reddy Penaka, Santhan / Man, Qingpeng / Lu, Weizhuo / Olofsson, Thomas (2023): Data-driven modelling of building retrofitting with incomplete physics: A generative design and machine learning approach. In: Journal of Physics: Conference Series, v. 2654, n. 1 (1 Dezember 2023).

    https://doi.org/10.1088/1742-6596/2654/1/012053

  6. Reddy Penaka, Santhan / Feng, Kailun / Rebbling, Anders / Azizi, Shoaib / Lu, Weizhuo / Olofsson, Thomas (2023): A data-driven framework for building energy benchmarking and renovation decision-making support in Sweden. In: IOP Conference Series: Earth and Environmental Science, v. 1196, n. 1 (1 Juni 2023).

    https://doi.org/10.1088/1755-1315/1196/1/012005

  7. Zhang, Shilong / Liu, Changyong / Feng, Kailun / Xia, Chunlai / Wang, Yuyin / Wang, Qinghe: Computer vision-based real-time monitoring for swivel construction of bridges: from laboratory study to a pilot application. In: Engineering, Construction and Architectural Management.

    https://doi.org/10.1108/ecam-10-2022-0992

  8. Man, Qingpeng / Yu, Haitao / Feng, Kailun / Olofsson, Thomas / Lu, Weizhuo (2024): Transfer of building retrofitting evaluations for data-scarce conditions: An empirical study for Sweden to China. In: Energy and Buildings, v. 310 (Mai 2024).

    https://doi.org/10.1016/j.enbuild.2024.114041

  9. Wang, Shuo / Feng, Kailun / Wang, Yaowu (2023): Modeling Performance and Uncertainty of Construction Planning under Deep Uncertainty: A Prediction Interval Approach. In: Buildings, v. 13, n. 1 (13 Januar 2023).

    https://doi.org/10.3390/buildings13010254

  10. Feng, Kailun / Lu, Weizhuo / Wang, Yaowu / Man, Qingpeng (2022): Energy-Efficient Retrofitting under Incomplete Information: A Data-Driven Approach and Empirical Study of Sweden. In: Buildings, v. 12, n. 8 (31 Juli 2022).

    https://doi.org/10.3390/buildings12081244

  11. Feng, Kailun / Wang, Shuo / Lu, Weizhuo / Liu, Changyong / Wang, Yaowu (2022): Planning Construction Projects in Deep Uncertainty: A Data-Driven Uncertainty Analysis Approach. In: Journal of Construction Engineering and Management, v. 148, n. 8 (August 2022).

    https://doi.org/10.1061/(asce)co.1943-7862.0002315

  12. Feng, Kailun / Chen, Shiwei / Lu, Weizhuo / Wang, Shuo / Yang, Bin / Sun, Chengshuang / Wang, Yaowu (2021): Embedding ensemble learning into simulation-based optimisation: a learning-based optimisation approach for construction planning. In: Engineering, Construction and Architectural Management, v. 30, n. 1 (August 2021).

    https://doi.org/10.1108/ecam-02-2021-0114

  13. Feng, Kailun / Lu, Weizhuo / Wang, Yaowu (2019): Assessing environmental performance in early building design stage: An integrated parametric design and machine learning method. In: Sustainable Cities and Society, v. 50 (Oktober 2019).

    https://doi.org/10.1016/j.scs.2019.101596

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