I am working on developing data-intensive methodologies and algorithms in urban energy modelling, intelligent control, and multi-label classification. I have participated in 8 research projects in collaboration with regional and national companies and organisations in industries such as transport, energy, and retail.
Research projects
Publications
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Han, Mengjie, Johari, Fatemeh, Huang, Pei, Zhang, Xingxing. Generating hourly electricity demand data for large-scale single-family buildings by a decomposition-recombination method, Energy and Built Environment, 2022. Article : refereed.
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Saini, Puneet, Shah, Juveria, Han, Mengjie. ANALYSIS AND PERFORMANCE MAPPING OF “COMPONENT TO SYSTEM” FOR A PARABOLIC TROUGH COLLECTOR APPLIED TO PROCESS HEATING APPLICATIONS, ISEC 2022 : 2022. Conference paper : refereed.
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Zhao, Jing, Han, Mengjie, Wang, Zhenwu, Wan, Benting. Autoregressive count data modeling on mobility patterns to predict cases of COVID-19 infection, Stochastic environmental research and risk assessment (Print), 2022. Article : refereed.
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Dong, Bing, Liu, Yapan, Fontenot, Hannah, Ouf, Mohamed, Osman, Mohamed, Chong, Adrian, Qin, Shuxu, Han, Mengjie, Zhang, Xingxing, Carlucci, Salvatore. Occupant behavior modeling methods for resilient building design,operation and policy at urban scale : a review, Applied Energy, 2021, Vol. 293. Article : refereed.
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Han, Mengjie, May, Ross, Zhang, Xingxing. Reinforcement Learning Methodologies for Controlling Occupant Comfort in Buildings, Part of: Data-driven Analytics for Sustainable Buildings and Cities, Springer, 2021. Chapter of book.
