钱明杨

1. Mingyang Qian, Shan Hu, Yi Wu, Da Yan. Quantitative index for temporal and spatial patterns of occupant behavior based on VRF big data[J]. Energy and Buildings, 2024: 114683.

2. Mingyang Qian, Da Yan, Tianzhen Hong and Hua Liu(2021). Operation and Performance of VRF Systems: Mining a Large-Scale Dataset [J]. Energy and Buildings

3. Mingyang Qian, Da Yan,Jingjing An, Tianzhen Hong and Jeffrey Spitler(2020). Evaluation of thermal imbalance of ground source heat pump systems in residential buildings in China. Building Simulation, 13.

4. Mingyang Qian, Da Yan, Hua Liu, Umberto Berardi and Ye Liu(2020). Power consumption and energy efficiency of VRF system based on large scale monitoring virtual sensors. Building Simulation.

5. Wu Yi, Jingjing An, Mingyang Qian and Da Yan (2023). Application-driven level-of-detail modeling framework for occupant air-conditioning behavior in district cooling. Journal of Building Engineering 70: 14.

6. Wu Yi, Xin Zhou, Mingyang Qian, Yuan Jin, Hongsan Sun and Da Yan (2023). Novel approach to typical air-conditioning behavior pattern extraction based on large-scale VRF system online monitoring data. Journal of Building Engineering 69: 15.

7. Liu Hua, Yi Wu, Da Yan, Shan Hu and Mingyang Qian (2022). Investigation of VRF system cooling operation and performance in residential buildings based on large-scale dataset. Journal of Building Engineering 61: 105219.

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

9. Shan Hu, Da Yan, Mingyang Qian (2019) . Using bottom-up model to analyze cooling energy consumption in China’s urban residential building. Energy and Buildings 202

10. Shan Hu, Da Yan, Jingjing An, Siyue Guo and Mingyang Qian(2019) . Investigation and analysis of Chinese residential building occupancy with large-scale questionnaire surveys. Energy and Buildings 193 289–304

11. Yi Wu, Shan Hu, Mingyang Qian, Jianguo Xiong, Da Yan, Advanced analysis of operating parameters utilizing big data to improve building cooling equipment energy efficiency standards, Sustainable Cities and Society, Volume 109, 2024, 105539

12. Mingyang Qian, Yi Wu, Da Yan. Cooling Energy Consumption and Efficiency of VRF Systems Based on a Large-Scale Dataset. ASHRAE Transactions 130 (2024): 325-333.

13. Mingyang Qian, Da Yan, and Jingjing An. Field test and modeling analysis on unbalance of heat extraction and rejection of GSHP systems with different AC terminal units. IOP Conference Series Earth and Environmental Science, March 2019

14. Mingyang Qian, Da Yan, Lun Zhang and Xin Zhou. Influence of occupant behaviour on oversizing issue of heat pumps for residential district in Hot Summer and Cold Winter zone of China. Procedia Engineering 205:2434-2441, December 2017

15. Hua Liu, Mingyang Qian, Da Yan and Umberto Berardi. Performance of VRF systems based on large scale monitoring. IOP Conference Series Materials Science and Engineering, October 2019

16. Hua Liu, Mingyang Qian and Da Yan Analysis of Large Scale Air Conditioner User Behaviour in China Based on Data Mining Method. Conference: Building Simulation 2019

17. Mingyang Qian, Da Yan. Comparative analysis on GSHP with different AC units in Hot Summer and Cold Winter zone. CONFERENCE PROCEEDING by ASHRAE, 2018

18. 钱明杨,江亿,燕达,胡姗,张洋. 基于责任划分的碳排放核算方法的探讨[J]. 中国能源, 2017.

19. 刘华,钱明杨,吴奕等.基于多联机大数据的住宅空调设定温度操作模式分析[J].建筑科学,2023,39(08):134-142.

20. 钱明杨,燕达,江亿,刘华,王宝龙. 基于大数据的住宅建筑多联机系统室外机设计方法研究[C]，2020全国暖通空调制冷学术年会青年优秀论文

1、2024年5月，2024年低碳建筑与热舒适技术青年科技论坛，山西太原，主论坛报告，《基于多联机大数据的供暖室内垂直温差现状研究》，

2、2024年6月，2024年美国采暖、制冷与空调工程师学会ASHRAE学术年会，美国印第安纳波利斯，分论坛报告，《Cooling Energy Consumption and Efficiency of VRF Systems Based on a Large-Scale Dataset》

3、2024年10月，第二十四届全国暖通空调制冷学术年会（2024），浙江湖州，分论坛报告，《基于多联机大数据的空调时空使用模式研究》