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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. 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. In: Sustainable Cities and Society, v. 109 (August 2024).

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

  2. An, Jingjing / Zhou, Xin / Yan, Da (2023): Analysis of Cooling Load Characteristics in Chinese Residential Districts for HVAC System Design. In: Buildings, v. 13, n. 10 (10 Oktober 2023).

    https://doi.org/10.3390/buildings13102450

  3. Bu, Fan / Kang, Xuyuan / Yan, Da / Wu, Ruhong / Sun, Hongsan / An, Jingjing / Wang, Xiao (2023): Acceleration of state–space method based on parallelization for enhancing building thermal process simulation efficiency. In: Energy and Buildings, v. 299 (November 2023).

    https://doi.org/10.1016/j.enbuild.2023.113600

  4. Peng, Chenyang / Chen, Zhihua / Yang, Jingjing / Liu, Zhaoru / Yan, Da / Chen, Yixing (2023): Assessment of electricity consumption reduction potential for city-scale buildings under different demand response strategies. In: Energy and Buildings, v. 297 (Oktober 2023).

    https://doi.org/10.1016/j.enbuild.2023.113473

  5. An, Jingjing / Wu, Yi / Gui, Chenxi / Yan, Da (2023): Chinese prototype building models for simulating the energy performance of the nationwide building stock. In: Building Simulation, v. 16, n. 8 (Juni 2023).

    https://doi.org/10.1007/s12273-023-1058-5

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

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

  7. Song, Min / Liu, Xue / Hu, Shan / Wen, Quan / Yan, Da (2022): Building a greener future—Progress of the green building technology in the “13th Five-Year Plan” of China. In: Building Simulation, v. 15, n. 10 (6 Juli 2022).

    https://doi.org/10.1007/s12273-022-0915-y

  8. Hu, Shan / Zhang, Yang / Yang, Ziyi / Yan, Da / Jiang, Yi (2022): Challenges and opportunities for carbon neutrality in China’s building sector—Modelling and data. In: Building Simulation, v. 15, n. 11 (Juni 2022).

    https://doi.org/10.1007/s12273-022-0912-1

  9. Zhu, Panyu / Yan, Da (2017): Adapting LT-Method for Building Energy Prediction in China. In: Procedia Engineering, v. 205 ( 2017).

    https://doi.org/10.1016/j.proeng.2017.09.927

  10. Kang, Xuyuan / Yan, Da / Xie, Xiaona / An, Jingjing / Liu, Zhaoru (2022): Co-Simulation of Dynamic Underground Heat Transfer with Building Energy Modeling based on Equivalent Slab Method. In: Energy and Buildings, v. 256 (Februar 2022).

    https://doi.org/10.1016/j.enbuild.2021.111728

  11. Jin, Yuan / Yan, Da / Chong, Adrian / Dong, Bing / An, Jingjing (2021): Building occupancy forecasting: A systematical and critical review. In: Energy and Buildings, v. 251 (November 2021).

    https://doi.org/10.1016/j.enbuild.2021.111345

  12. Zhou, Xin / Tian, Shuai / An, Jingjing / Yang, Junyan / Zhou, Yuxie / Yan, Da / Wu, Jinxiu / Shi, Xing / Jin, Xing (2021): Comparison of different machine learning algorithms for predicting air-conditioning operating behavior in open-plan offices. In: Energy and Buildings, v. 251 (November 2021).

    https://doi.org/10.1016/j.enbuild.2021.111347

  13. Lovati, Marco / Huang, Pei / Olsmats, Carl / Yan, Da / Zhang, Xingxing (2021): Agent Based Modelling of a Local Energy Market: A Study of the Economic Interactions between Autonomous PV Owners within a Micro-Grid. In: Buildings, v. 11, n. 4 (5 April 2021).

    https://doi.org/10.3390/buildings11040160

  14. Gao, Xiangkui / Yuan, Yanping / Cao, Xiaoling / Wu, Hongwei / Zhao, Xudong / Yan, Da (2018): Coupled cooling method and application of latent heat thermal energy storage combined with pre-cooling of envelope: Temperature control using phase-change chair. In: Sustainable Cities and Society, v. 42 (Oktober 2018).

    https://doi.org/10.1016/j.scs.2018.06.032

  15. Zhou, Xin / Hong, Tianzhen / Yan, Da (2013): Comparison of HVAC system modeling in EnergyPlus, DeST and DOE-2.1E. In: Building Simulation, v. 7, n. 1 (November 2013).

    https://doi.org/10.1007/s12273-013-0150-7

  16. Pan, Song / Wang, Xinru / Wei, Yixuan / Zhang, Xingxing / Gal, Csilla / Ren, Guangying / Yan, Da / Shi, Yong / Wu, Jinshun / Xia, Liang / Xie, Jingchao / Liu, Jiaping (2017): Cluster analysis for occupant-behavior based electricity load patterns in buildings: A case study in Shanghai residences. In: Building Simulation, v. 10, n. 6 (Oktober 2017).

    https://doi.org/10.1007/s12273-017-0377-9

  17. 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. In: Building Simulation, v. 13, n. 2 (Februar 2020).

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

  18. Jin, Yuan / Xu, Jieyan / Yan, Da / Sun, Hongsan / An, Jingjing / Tang, Jianghui / Zhang, Ruosi (2020): Appliance use behavior modelling and evaluation in residential buildings: A case study of television energy use. In: Building Simulation, v. 13, n. 4 (Juni 2020).

    https://doi.org/10.1007/s12273-020-0648-8

  19. Zhou, Xin / Liu, Tiance / Yan, Da / Shi, Xing / Jin, Xing (2020): An action-based Markov chain modeling approach for predicting the window operating behavior in office spaces. In: Building Simulation, v. 14, n. 2 (Dezember 2020).

    https://doi.org/10.1007/s12273-020-0647-9

  20. Xu, Jieyan / Kang, Xuyuan / Chen, Zheng / Yan, Da / Guo, Siyue / Jin, Yuan / Hao, Tianyi / Jia, Rongda (2020): Clustering-based probability distribution model for monthly residential building electricity consumption analysis. In: Building Simulation, v. 14, n. 1 (November 2020).

    https://doi.org/10.1007/s12273-020-0710-6

  21. Fan, Cheng / Yan, Da / Xiao, Fu / Li, Ao / An, Jingjing / Kang, Xuyuan (2020): Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches. In: Building Simulation, v. 14, n. 1 (November 2020).

    https://doi.org/10.1007/s12273-020-0723-1

  22. Fan, Cheng / Xiao, Fu / Yan, Da (2020): Advanced data analytics for building energy modeling and management. In: Building Simulation, v. 14, n. 1 (November 2020).

    https://doi.org/10.1007/s12273-020-0733-z

  23. Zhou, Xin / Yan, Da / Hong, Tianzhen / Ren, Xiaoxin (2015): Data analysis and stochastic modeling of lighting energy use in large office buildings in China. In: Energy and Buildings, v. 86 (Januar 2015).

    https://doi.org/10.1016/j.enbuild.2014.09.071

  24. Peng, Chen / Yan, Da / Guo, Siyue / Hu, Shan / Jiang, Yi (2015): Building energy use in China: Ceiling and scenario. In: Energy and Buildings, v. 102 (September 2015).

    https://doi.org/10.1016/j.enbuild.2015.05.049

  25. Hong, Tianzhen / Taylor-Lange, Sarah C. / D'Oca, Simona / Yan, Da / Corgnati, Stefano P. (2016): Advances in research and applications of energy-related occupant behavior in buildings. In: Energy and Buildings, v. 116 (März 2016).

    https://doi.org/10.1016/j.enbuild.2015.11.052

  26. Zhou, Xin / Yan, Da / An, Jingjing / Hong, Tianzhen / Shi, Xing / Jin, Xing (2018): Comparative study of air-conditioning energy use of four office buildings in China and USA. In: Energy and Buildings, v. 169 (Juni 2018).

    https://doi.org/10.1016/j.enbuild.2018.03.073

  27. An, Jingjing / Yan, Da / Hong, Tianzhen (2018): Clustering and statistical analyses of air-conditioning intensity and use patterns in residential buildings. In: Energy and Buildings, v. 174 (September 2018).

    https://doi.org/10.1016/j.enbuild.2018.06.035

  28. Zhu, Panyu / Yan, Da / Sun, Hongshan / An, Jingjing / Huang, Yu (2019): Building Blocks Energy Estimation (BBEE): A method for building energy estimation on district level. In: Energy and Buildings, v. 185 (Februar 2019).

    https://doi.org/10.1016/j.enbuild.2018.12.031

  29. Ren, Xiaoxin / Yan, Da / Wang, Chuang (2014): Air-conditioning usage conditional probability model for residential buildings. In: Building and Environment, v. 81 (November 2014).

    https://doi.org/10.1016/j.buildenv.2014.06.022

  30. Zhou, Xin / Yan, Da / Shi, Xing (2017): Comparative research on different air conditioning systems for residential buildings. In: Frontiers of Architectural Research, v. 6, n. 1 (März 2017).

    https://doi.org/10.1016/j.foar.2016.11.004

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