个人简介

教育背景 2011/10-2016/09, 香港理工大学, 屋宇设备管理, 博士 2007/08-2011/09, 香港理工大学, 屋宇设备管理, 学士 主讲课程 计量经济学；预测与决策技术

研究领域

建筑系统能效诊断；数据挖掘；大数据分析

科研项目 1. 国家自然科学基金青年科学基金项目，主持，大数据驱动的中央空调系统多维度运行规律识别及能效诊断方法研究，2020-2022； 2. 广东省自然科学基金项目, 主持, 基于数据挖掘技术的建筑运行大数据分析方法及其在建筑能源管理中的应用研究, 2018-2020； 3. 广东省哲学社会科学规划项目, 主持, 大数据驱动的公共建筑智能化能源管理理论及优化方法研究, 2019-2021； 4. 深圳市哲学社会科学规划项目，主持，大数据环境下深圳市公共建筑智慧节能管理策略研究，2019-2021； 5. 深圳大学与台北科技大学2019年度学术合作专题研究项目，主持，基于物联网与大数据技术的建筑空调系统智能化能效诊断技术研究，2019-2020； 6. 深圳大学研究生教育改革项目，主持，智慧城市背景下信息化工程管理人才培养的实践研究，2019-2021； 7. 深圳市高端人才科研启动项目, 主持, 基于数据挖掘技术的智能化建筑节能分析方法研究，2018-2020； 8. 深圳大学新进教师启动项目，主持，大数据驱动的建筑运行表现管理方法研究，2017-2019； 9. 香港研究资助委员会项目(RGC/GRF)，参与，Mining massive data sets in building automation system for improving building operational performance，2015-2018； 计算机软件工具开发 1. Cheng Fan. HighDimOut: A package for outlier detection in high-dimensional data. The Comprehensive R Archive Network. 2. Cheng Fan. TSMining: A package for time series data mining. The Comprehensive R Archive network. 专利 1. 范成, 薛雪, 程奇, 孙雪. 2017年4月. 一种医院空气品质综合监控装置, 实用新型专利, 证书号6667243, 专利号ZL201720382165.9. 2. 范成, 薛雪, 程奇, 孙雪. 2017年4月. 一种医院门诊部风机盘管冷量定量控制装置, 实用新型专利, 证书号7353494, 专利号ZL201720412695.3. 3. 程奇, 薛雪, 范成, 孙雪. 2017年5月. 医院空调机房一次泵与二次泵流量匹配控制装置, 实用新型专利, 证书号7332662, 专利号ZL201720528643.2. 4. 程奇, 薛雪, 范成, 孙雪. 2017年5月. 一种数据中心的新风按需控制装置, 实用新型专利, 证书号6936280, 专利号ZL201720482119.

近期论文

查看导师最新文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

期刊论文 1. Cheng Fan, Fu Xiao, Mengjie Song, Jiayuan Wang. A graph mining-based methodology for discovering and visualizing high-level knowledge for building energy management. Applied Energy. 2019, 251: 113395. 2. Cheng Fan, Yongjun Sun, Yang Zhao, Mengjie Song, Jiayuan Wang. Deep learning-based feature engineering methods for improved building energy prediction. Applied Energy. 2019, 240: 35-45. 3. Cheng Fan, Jiayuan Wang, Wenjie Gang*, Shenghan Li. Assessment of deep recurrent neural network-based strategies for short-term building energy predictions. Applied Energy. 2019, 236: 700-710. 4. Cheng Fan, Fu Xiao, Chengchu Yan, Chengliang Liu, Zhengdao Li, Jiayuan Wang. A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning. Applied Energy. 2019, 235: 1551-60. 5. Cheng Fan, Yongjun Sun*, Kui Shan, Fu Xiao, Jiayuan Wang. Discovering gradual patterns in building operations for improving building energy efficiency. Applied Energy. 2018, 224: 116-123. 6. Cheng Fan, Gongsheng Huang, Yongjun Sun*. A collaborative control optimization of grid-connected net zero energy buildings for performance improvements at building group level. Energy. 2018, 164: 536-549. 7. Cheng Fan, Fu Xiao, Yang Zhao*, Jiayuan Wang. Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data. Applied Energy. 2018, 211: 1123-1135. 8. Cheng Fan*, Fu Xiao, Zhengdao Li**, Jiayuan Wang. Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review. Energy and Buildings. 2018, 159: 296-308. 9. Cheng Fan, Fu Xiao*, Chengchu Yan. Research and applications of data mining techniques for improving building operational performance. Current Sustainable/ Renewable Energy Reports, 2018: 1-9. 10. Cheng Fan, Fu Xiao*, Yang Zhao. A short-term building cooling load prediction method using deep learning algorithms. Applied Energy. 2017, 195: 222-233. 11. Cheng Fan, Fu Xiao*. Mining big building operational data for improving building energy efficiency: A case study. Building Services Engineering Research and Technology. 2017, 39:117-128. 12. Cheng Fan, Fu Xiao*, Henrik Madsen, Dan Wang. Temporal knowledge discovery in big BAS data for building energy management. Energy and Buildings. 2015, 109: 75-89. 13. Cheng Fan, Fu Xiao*, Chengchu Yan. A framework for knowledge discovery in massive building automation data and its application in building diagnostics. Automation in Construction. 2015, 50: 81-90. 14. Cheng Fan, Fu Xiao*, Shengwei Wang. Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques. Applied Energy. 2014, 127: 1-10. 15. Pei Huang, Cheng Fan*, Xingxing Zhang, Jiayuan Wang. A hierarchical coordinated demand response control for buildings with improved performances at building group. Applied Energy. 2019, 242: 684-694. 16. Borui Cui, Cheng Fan*, Jeffrey Munk, Ning Mao, Fu Xiao, Jin Dong, Teja Kuruganti. A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses. Applied Energy. 2018, 236: 101-116. 17. Yang Zhao, Tingting Li, Cheng Fan*, Jingchao Lu, Xuejun Zhang, Chaobo Zhang, Shuqin Chen. A proactive fault detection and diagnosis method for variable-air-volume terminals in building air-conditioning systems. Energy and Buildings. 2018, 183: 527-537. 18. Zhikun Ding, Zongjie Li, Cheng Fan*. Building energy savings: Analysis of research trend based on text mining. Automation in Construction. 2018, 96: 398-410. 19. Zhengdao Li, Jingke Hong*, Cheng Fan*, Xiaoxiao Xu, Qiping Shen. Schedule delay analysis of prefabricated housing production: A hybrid dynamic approach. Journal of Cleaner Production. 2018, 195: 1533-1545. 20. Zhengdao Li, Xiaoxiao Xu, Qiping Shen, Cheng Fan*, Xiao Li, Jingke Hong*. A model for simulating schedule risks in prefabrication housing production: A case study of six-day cycle assembly activities in Hong Kong. Journal of Cleaner Production. 2018, 185: 366-381. 21. Fu Xiao*, Cheng Fan. Data mining in building automation system for improving building operational performance. Energy and Buildings. 2014, 75: 109-118. 22. Fu Xiao*, Cheng Fan, Shengwei Wang. Building system performance diagnosis and optimization based on data mining techniques. CIESC Journal (化工学报). 2014,65: 181-187. 23. Mengjie Song, Cheng Fan, Ning Mao*, Yingjie Xu. An experimental study on time-based start defrosting control strategy optimization for an air source heat pump unit with frost evenly distributed and melted frost locally drained. Energy and Buildings. 2018, 178: 26-37. 24. Chengchu Yan, Shengwei Wang*, Cheng Fan, Fu Xiao. Retrofitting building fire service water tanks as chilled water storage for power demand limiting. Building Services Engineering Research & Technology. 2017, 38(1): 47-63. 25. Wenjie Gang, Godfried Augenbroe, Shengwei Wang*, Cheng Fan, Fu Xiao. An uncertainty-based design optimization method for district cooling systems. Energy. 2016, 102: 516-527. 会议论文 1. Cheng Fan, Mengjie Song, Fu Xiao, Xue Xue. Discovering complex knowledge in massive building operational data using graph mining for building energy management. Energy Procedia. 2019, 158: 2481-2487. 2. Cheng Fan, Fu Xiao*. Mining gradual patterns in big building operational data for building energy efficiency enhancement. Energy Procedia. 2017, 119-124. 3. Cheng Fan, Fu Xiao*. Assessment of building operational performance using data mining techniques: A case study. Energy Procedia. 2017, 111: 1070-1078. 4. Cheng Fan, Fu Xiao*, Dan Wang, Big data analytics for smart buildings. Joint Symposium on Building A Smarter City via Latest Technologies, Hong Kong: 2016. 5. Cheng Fan, Fu Xiao*, Shengwei Wang. Rare event analysis of high dimensional building operational data using data mining techniques. The 3rd International High Performance Buildings Conference, Purdue University, USA: 2014. 6. Cheng Fan, Fu Xiao*, Shengwei Wang. Prediction of chiller power consumption using time series analysis and artificial neural networks. CLIMA 2013 - The 11th REHVA World Conference, Prague, Czech: 2013. 7. Borui Cui, Cheng Fan, Fu Xiao*. Development of a scheme for assessment of demand response potential using distributed sensor networks for residential flat. CLIMA 2016 – The 12th REHVA World Congress, Aalborg, Denmark: 2016. 8. Yi Yuan, Cheng Fan, Dan Wang*, Fu Xiao. Developing associations between building occupancy and traffic congestion. The ACM/IEEE 6th International Conference on Cyber-Physical Systems, New York, USA: 2015. 9. Fu Xiao, Shengwei Wang, Cheng Fan. Mining big building operational data for building cooling load prediction and energy efficiency improvement. The IEEE International Conference on Smart Computing, Hong Kong, China: 2017. 10. Zimu Zheng, Qiong Chen, Cheng Fan, Nan Gun, Arun Vishwanath, Dan Wang, Fangming Liu. Data driven chiller sequencing for reducing HVAC electricitiy consumption in commercial buildings. E-Energy, Karlsruhe, Germany: 2018. 11. Chaobo Zhang, Yang Zhao*, Xuejun Zhang, Cheng Fan, Tingting Li. An improved cooling load prediction method for building with estimation of prediction intervals. Procedia Engineering. 2017, 205: 2422-2428. 12. Zimu Zheng, Dan Wang*, Jian Pei, Yi Yuan, Cheng Fan, Fu Xiao. Urban traffic prediction through the second use of inexpensive big data from buildings. Conference on Information and Knowledge Management, Indianapolis, Indiana, USA: 2016.