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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Zhao, Anjun / Zhang, Mingrui / Quan, Wei / Sun, Wenbo (2025): A hybrid prediction model for heating load of buildings within residential communities considering occupancy rates. In: Energy and Buildings, v. 329 (February 2025).

    https://doi.org/10.1016/j.enbuild.2024.115220

  2. Zhao, Anjun / Chen, Mengya / Quan, Wei / Zhang, Sijia (2024): A hybrid forecasting model for general hospital electricity consumption based on mixed signal decomposition. In: Energy and Buildings, v. 325 (December 2024).

    https://doi.org/10.1016/j.enbuild.2024.115006

  3. Zhao, Anjun / Wei, Yuan / Quan, Wei / Xi, Jiangtao / Dong, Feifei (2024): Distributed model predictive control of fan coil system. In: Journal of Building Engineering, v. 94 (October 2024).

    https://doi.org/10.1016/j.jobe.2024.110028

  4. Zhao, Anjun / Chen, Mengya / Yu, Junqi / Cui, Pufang (2024): Simulating appliance-level household electricity data: Accounting for residential behavior and usage patterns in China. In: Journal of Building Engineering, v. 92 (September 2024).

    https://doi.org/10.1016/j.jobe.2024.109804

  5. Liu, Haiyan / Yu, Junqi / Dai, Junwei / Zhao, Anjun / Wang, Meng / Zhou, Meng (2023): Hybrid prediction model for cold load in large public buildings based on mean residual feedback and improved SVR. In: Energy and Buildings, v. 294 (September 2023).

    https://doi.org/10.1016/j.enbuild.2023.113229

  6. Liu, Xinyi / Yu, Junqi / Zhao, Anjun / Jing, Wenqiang / Mi, Lu (2023): A hybrid WOA-SVM based on CI for improving the accuracy of shopping mall air conditioning system energy consumption prediction. In: Energy and Buildings, v. 294 (September 2023).

    https://doi.org/10.1016/j.enbuild.2023.113186

  7. Zhao, Anjun / Dong, Feifei / Xue, Xiao / Xi, Jiangtao / Wei, Yuan (2023): Optimal control for hydraulic balance of secondary network in district heating system under distributed architecture. In: Energy and Buildings, v. 290 (July 2023).

    https://doi.org/10.1016/j.enbuild.2023.113030

  8. Li, Xiang / Yu, Junqi / Zhao, Anjun / Hou, Shuai / Mao, Yun (2023): Time series prediction method based on sub-metering in building energy performance evaluation. In: Journal of Building Engineering, v. 72 (August 2023).

    https://doi.org/10.1016/j.jobe.2023.106638

  9. Xue, Zhilu / Yu, Junqi / Zhao, Anjun / Zong, Yue / Yang, Siyuan / Wang, Meng (2023): Optimal chiller loading by improved sparrow search algorithm for saving energy consumption. In: Journal of Building Engineering, v. 67 (May 2023).

    https://doi.org/10.1016/j.jobe.2023.105980

  10. Chai, Kang / Yu, Junqi / Tian, Ying / Zhao, Anjun / Gao, Jiaojiao / Nie, Jikai (2020): Comprehensive Evaluation Method of Office Building Energy Consumption Based on Improved Multi-index. In: IOP Conference Series: Materials Science and Engineering, v. 790, n. 1 (1 March 2020).

    https://doi.org/10.1088/1757-899x/790/1/012047

  11. Zhao, Anjun / Mi, Lu / Xue, Xiao / Xi, Jiangtao / Jiao, Yang (2022): Heating load prediction of residential district using hybrid model based on CNN. In: Energy and Buildings, v. 266 (July 2022).

    https://doi.org/10.1016/j.enbuild.2022.112122

  12. Zhou, Xinwei / Yu, Junqi / Zhang, Wanhu / Zhao, Anjun / Zhou, Min (2021): A multi-objective optimization operation strategy for ice-storage air-conditioning system based on improved firefly algorithm. In: Building Services Engineering Research and Technology, v. 43, n. 2 (October 2021).

    https://doi.org/10.1177/01436244211045570

  13. Ren, Yanhuan / Yu, Junqi / Zhao, Anjun / Jing, Wenqiang / Ran, Tong / Yang, Xiong (2021): A multi-objective operation strategy optimization for ice storage systems based on decentralized control structure. In: Building Services Engineering Research and Technology, v. 42, n. 1 (10 December 2021).

    https://doi.org/10.1177/0143624420966259

  14. Yu, Junqi / Liu, Qite / Zhao, Anjun / Qian, Xuegen / Zhang, Rui (2020): Optimal chiller loading in HVAC System Using a Novel Algorithm Based on the distributed framework. In: Journal of Building Engineering, v. 28 (March 2020).

    https://doi.org/10.1016/j.jobe.2019.101044

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