XIAO, Fu Linda

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Shengwei WangChair Professor of Building Energy and Automation, Hong Kong Polytechnic UniversityEmail yang diverifikasi di polyu.edu.hk
Cheng FanShenzhen UniversityEmail yang diverifikasi di szu.edu.cn
Yang ZhaoResearch Professor, Zhejiang University, ChinaEmail yang diverifikasi di zju.edu.cn
Ao LiThe Hong Kong Polytechnic UniversityEmail yang diverifikasi di connect.polyu.hk
Dr. Sun YongjunCity University of Hong KongEmail yang diverifikasi di cityu.edu.hk
Maomao HuNational Unviersity of SingaporeEmail yang diverifikasi di nus.edu.sg
Wenjie GangHuazhong University of Science and TechnologyEmail yang diverifikasi di hust.edu.cn
Xinyan HuangThe Hong Kong Polytechnic UniversityEmail yang diverifikasi di polyu.edu.hk
Gaoming GePh.D, P.Eng.Email yang diverifikasi di mail.usask.ca
Asif UsmaniHong Kong Polytechnic UniversityEmail yang diverifikasi di polyu.edu.hk
Chong ZHANGHuazhong University of Science and TechnologyEmail yang diverifikasi di hust.edu.cn
CHEN, Zhe BarryHong Kong Polytechnic UniversityEmail yang diverifikasi di connect.polyu.hk
Dan WangThe Hong Kong Polytechnic UniversityEmail yang diverifikasi di comp.polyu.edu.hk
Lingshi WangOak Ridge National LaboratoryEmail yang diverifikasi di ornl.gov
Zhenjun MaProfessor, University of WollongongEmail yang diverifikasi di uow.edu.au
Fangzhou GuoLawrence Berkeley National LabEmail yang diverifikasi di lbl.gov
Xi-Qiang Wu (吴西强)Associate Professor, Southeast UniversityEmail yang diverifikasi di seu.edu.cn
Jin Wendrexel universityEmail yang diverifikasi di drexel.edu
Kui SHANThe Hong Kong Polytechnic UniversityEmail yang diverifikasi di connect.polyu.hk
Tianhang ZhangPh.D. Candidate, the Hong Kong Polytechnic UniversityEmail yang diverifikasi di connect.polyu.hk

Ikuti

XIAO, Fu Linda

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

Email yang diverifikasi di polyu.edu.hk - Beranda

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


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
A short-term building cooling load prediction method using deep learning algorithms C Fan, F Xiao, Y Zhao Applied energy 195, 222-233, 2017	713	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	648	2014
Quantitative energy performance assessment methods for existing buildings S Wang, C Yan, F Xiao Energy and buildings 55, 873-888, 2012	451	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	406	2013
AHU sensor fault diagnosis using principal component analysis method S Wang, F Xiao Energy and Buildings 36 (2), 147-160, 2004	334	2004
Data mining in building automation system for improving building operational performance F Xiao, C Fan Energy and buildings 75, 109-118, 2014	329	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	298	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	295	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	285	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	266	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	246	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	245	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	221	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	218	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	210	2017
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	198	2021
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	197	2010
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	191	2023
Attention-based interpretable neural network for building cooling load prediction A Li, F Xiao, C Zhang, C Fan Applied Energy 299, 117238, 2021	188	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	175	2015

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