The Hong Kong University of Science and Technology
Welcome to my personal page! 👋 I am a Ph.D. student at the Department of Civil and Environmental Engineering at HKUST , supervised by Prof. Zhe Wang. My research lies at the intersection of building energy systems, EV-grid integration, and energy storage optimization — with a focus on developing data-driven optimization and control strategies for low-carbon urban energy infrastructure.
You might also be interested in the eMERGE Seminar Series 🎨 — a seminar series on Energy, Mobility, and Grid, organized by Yi Ju, with some contributions from me.
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The Hong Kong University of Science and TechnologySupervisor: Prof. Zhe Wang2024 - present -
Southeast UniversityB.Arch. in Architecture2018 - 2024 -
Politecnico di MilanoVisiting StudentFeb. 2024 - Jul. 2024
Honors & Awards
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Hong Kong PhD Fellowship Scheme (HKPFS)2024
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National Scholarship, Ministry of Education, China2021
Services
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Journal Reviewer — Energy, Energy & Buildings
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Conference Reviewer — American Control Conference (ACC 2026), TRB 2026
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Session Chair — Building Simulation Conference (2025), Brisbane
Selected Publications (view all )
Coordinating Multiple UPS Batteries in Datacenter for Load Flexibility and Cost Reduction
Lunlong Li, Yang Pu, Yi Ju, Ziqi Hu, Zhe Wang
Energy and Buildings 2026
Investigates coordination strategies for multiple UPS batteries in datacenters to provide load flexibility and reduce electricity costs, leveraging energy storage for demand-side management.
Coordinating Multiple UPS Batteries in Datacenter for Load Flexibility and Cost Reduction
Lunlong Li, Yang Pu, Yi Ju, Ziqi Hu, Zhe Wang
Energy and Buildings 2026
Investigates coordination strategies for multiple UPS batteries in datacenters to provide load flexibility and reduce electricity costs, leveraging energy storage for demand-side management.
Quantifying the Impact of Building Load Forecasts on Optimizing Energy Storage Systems
Lunlong Li*, Yi Ju*, Zhe Wang (* equal contribution)
Energy and Buildings 2024
This paper quantifies how building load forecast accuracy impacts the optimization of energy storage systems, providing insights into the trade-offs between forecast quality and storage scheduling performance.
Quantifying the Impact of Building Load Forecasts on Optimizing Energy Storage Systems
Lunlong Li*, Yi Ju*, Zhe Wang (* equal contribution)
Energy and Buildings 2024
This paper quantifies how building load forecast accuracy impacts the optimization of energy storage systems, providing insights into the trade-offs between forecast quality and storage scheduling performance.