Qingyao Qiao
机构: The University of Hong Kong,University of Manchester
每年引用次数
引用次数
引用: 213
H-指数: 7
I10-指数 : 7
出版物: 21
Hybrid method for building energy consumption prediction based on limited data
Qingyao Qiao , Akilu Yunusa-Kaltungo , Rodger Edwards
2020 IEEE PES/IAS PowerAfrica
2020
Predicting building energy consumption based on meteorological data
Qingyao Qiao , Akilu Yunusa-Kaltungo , Rodger Edwards
2020 IEEE PES/IAS PowerAfrica
2020
Towards developing a systematic knowledge trend for building energy consumption prediction
Qingyao Qiao , Akilu Yunusa-Kaltungo , Rodger E. Edwards
Journal of Building Engineering 35 101967
41
2020
An interactive agent-based modelling framework for assessing COVID-19 transmission risk on construction site
Qingyao Qiao , Clara Cheung , Akilu Yunusa-Kaltungo , Patrick Manu
Safety Science 168 106312 -106312
1
2023
The transmission of COVID-19 in construction: A systematic review of findings from statistical and modelling techniques
Ruifeng Cao , Clara Cheung , Akilu Yunusa-Kaltungo , Patrick Manu
Construction Safety, Health and Well-being in the COVID-19 era 15 -27
2024
The transmission of COVID-19 in construction
Ruifeng Cao , Clara Cheung , Akilu Yunusa-Kaltungo , Patrick Manu
Construction Safety, Health and Well-being in the COVID-19 era
2023
Architectural design and epidemic prevalence: Insights from Hong Kong's fifth wave
Qingyao Qiao , Chinmoy Sarkar , Eric Schuldenfrei , Ka Yan Lai
Building and Environment 256 111516 -111516
2024
A hybrid agent-based machine learning method for human-centred energy consumption prediction
Qingyao Qiao , Akilu Yunusa-Kaltungo
Energy and Buildings 283 112797 -112797
21
2023
Feature selection strategy for machine learning methods in building energy consumption prediction
Qingyao Qiao , Akilu Yunusa-Kaltungo , Rodger E Edwards
Energy Reports 8 13621 -13654
20
2022
Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode decomposition
Qingyao Qiao , Akilu Yunusa-Kaltungo , Rodger E Edwards
Energy Reports 9 3643 -3660
8
2023
Predicting building energy consumption during holiday periods
Qingyao Qiao , Akilu Yunusa-Kaltungo , Rodger Edwards
2021 IEEE PES/IAS PowerAfrica 1 -5
2
2021
Preliminary exploration of factors affecting building energy consumption prediction
Qingyao Qiao , Akilu Yunusa-Kaltungo , Rodger Edwards
2021 IEEE PES/IAS PowerAfrica 1 -5
1
2021
Preliminary exploration of recursive feature elimination and empirical decomposition for building energy consumption prediction
Qingyao Qiao , Akilu Yunusa-Kaltungo , Rodger Edwards
International Symposium on Reliability Engineering and Risk Management4–7 September 2022, Hannover, Germany 568 -573
2022
An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector
Qingyao Qiao , Hamidreza Eskandari , Hassan Saadatmand , Mohammad Ali Sahraei
Energy 286 129499 -129499
6
2024
Compressive and flexural strength of high strength phase change mortar
Qingyao Qiao , Changle Fang
Advances in Materials, Machinery, Electronics II 1955 ( 1) 020024 -020024
1
2018
Street-level built environment on SARS-CoV-2 transmission: A study of Hong Kong
Chongyang Ren , Xiaoran Huang , Qingyao Qiao , Marcus White
Heliyon 10 ( 19)
2024
Associations of residential greenness with behavioural, physical, and mental health: a Hong Kong study during the fifth wave of COVID-19 pandemic
Chi Cho Cheung , Ka Yan Lai , Rong Zhang , Eric Schuldenfrei
Cities & Health 1 -14
2024
Fault Detection and Diagnosis as a Predictor of Energy Consumption in Special-Purpose Buildings
Ashraf Alghanmi , Yunusa-Kaltungo Akilu , Qingyao Qiao
Springer Nature Switzerland 491 -513
2024
Overview of Key Methodologies for Predicting Energy Consumption in Buildings
Qingyao Qiao , Akilu Yunusa-Kaltungo , Yue Zhai , Ashraf Alghanmi
Springer Nature Switzerland 355 -372
2024
Smart Energy System from Socio-technical Perspectives: A Semi Systematic Literature Review
Yue Zhai , Lei Zhang , Jiaqing Huang , Qingyao Qiao
Key Themes in Energy Management: A Compilation of Current Practices, Research Advances, and Future Opportunities 415 -436
2024