XIAO, Fu Linda

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Shengwei WangChair Professor of Building Energy and Automation, Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Cheng FanShenzhen UniversityVerified email at szu.edu.cn
Yang ZhaoResearch Professor, Zhejiang University, ChinaVerified email at zju.edu.cn
Ao LiThe Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk
Dr. Sun YongjunCity University of Hong KongVerified email at cityu.edu.hk
Maomao HuNational Unviersity of SingaporeVerified email at nus.edu.sg
Wenjie GangHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Gaoming GePh.D, P.Eng.Verified email at mail.usask.ca
Xinyan HuangThe Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Chong ZHANGHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Asif UsmaniHong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Lingshi WangOak Ridge National LaboratoryVerified email at ornl.gov
Dan WangThe Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Zhenjun MaProfessor, University of WollongongVerified email at uow.edu.au
Fangzhou GuoLawrence Berkeley National LabVerified email at lbl.gov
CHEN, Zhe BarryHong Kong Polytechnic UniversityVerified email at connect.polyu.hk
Jin Wendrexel universityVerified email at drexel.edu
Xi-Qiang Wu (吴西强)Associate Professor, Southeast UniversityVerified email at seu.edu.cn
Kui SHANThe Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk
Tianhang ZhangPh.D. Candidate, the Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk

XIAO, Fu Linda

Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University

Verified email at polyu.edu.hk - Homepage

Building energy efficiency smart energy system district energy system big data AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A short-term building cooling load prediction method using deep learning algorithms C Fan, F Xiao, Y Zhao Applied energy 195, 222-233, 2017	699	2017
Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques C Fan, F Xiao, S Wang Applied Energy 127, 1-10, 2014	640	2014
Quantitative energy performance assessment methods for existing buildings S Wang, C Yan, F Xiao Energy and buildings 55, 873-888, 2012	458	2012
Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: A review Y Sun, S Wang, F Xiao, D Gao Energy conversion and management 71, 101-114, 2013	408	2013
AHU sensor fault diagnosis using principal component analysis method S Wang, F Xiao Energy and Buildings 36 (2), 147-160, 2004	330	2004
Data mining in building automation system for improving building operational performance F Xiao, C Fan Energy and buildings 75, 109-118, 2014	326	2014
Pattern recognition-based chillers fault detection method using support vector data description (SVDD) Y Zhao, S Wang, F Xiao Applied Energy 112, 1041-1048, 2013	293	2013
Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data C Fan, F Xiao, Y Zhao, J Wang Applied energy 211, 1123-1135, 2018	291	2018
Research and application of evaporative cooling in China: A review (I)–Research YM Xuan, F Xiao, XF Niu, X Huang, SW Wang Renewable and Sustainable Energy Reviews 16 (5), 3535-3546, 2012	287	2012
A framework for knowledge discovery in massive building automation data and its application in building diagnostics C Fan, F Xiao, C Yan Automation in Construction 50, 81-90, 2015	261	2015
An intelligent chiller fault detection and diagnosis methodology using Bayesian belief network Y Zhao, F Xiao, S Wang Energy and Buildings 57, 278-288, 2013	249	2013
Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review C Fan, F Xiao, Z Li, J Wang Energy and Buildings 159, 296-308, 2018	244	2018
An interactive building power demand management strategy for facilitating smart grid optimization X Xue, S Wang, Y Sun, F Xiao Applied Energy 116, 297-310, 2014	220	2014
Statistical investigations of transfer learning-based methodology for short-term building energy predictions C Fan, Y Sun, F Xiao, J Ma, D Lee, J Wang, YC Tseng Applied Energy 262, 114499, 2020	210	2020
Diagnostic Bayesian networks for diagnosing air handling units faults–part I: Faults in dampers, fans, filters and sensors Y Zhao, J Wen, F Xiao, X Yang, S Wang Applied Thermal Engineering 111, 1272-1286, 2017	204	2017
A system-level fault detection and diagnosis strategy for HVAC systems involving sensor faults S Wang, Q Zhou, F Xiao Energy and buildings 42 (4), 477-490, 2010	199	2010
Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches C Fan, D Yan, F Xiao, A Li, J An, X Kang Building Simulation 14, 3-24, 2021	189	2021
Attention-based interpretable neural network for building cooling load prediction A Li, F Xiao, C Zhang, C Fan Applied Energy 299, 117238, 2021	182	2021
Temporal knowledge discovery in big BAS data for building energy management C Fan, F Xiao, H Madsen, D Wang Energy and Buildings 109, 75-89, 2015	176	2015
Interpretable machine learning for building energy management: A state-of-the-art review Z Chen, F Xiao, F Guo, J Yan Advances in Applied Energy 9, 100123, 2023	173	2023

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