School of Electrical, Computer and Energy Engineering, Arizona State University
School of Electrical and Computer Engineering, Cornell UniversityI am a PhD student in EE at Arizona State University advised by Prof Yang Weng. I received my master degree in ECE from Cornell University, where I was advised by Prof Eilyan Bitar. My research interests include Foundation Model, Decision-Focused ML, Physics-Informed ML, Data-driven Energy Decarbonisation, and Distributed Energy Resources. I received the National Scholarship and serve as reviewer for Applied Energy, IEEE Transactions on Industrial Informatics, and Complex & intelligent systems.
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Arizona State UniversityPhD in Electrical EngineeringAug. 2026 - Present
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Cornell UniversityMEng in Electrical and Computer EngineeringAug. 2025 - May. 2026
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University of Northumbria at NewcastleBEng (Hons) in Electrical and Electronic EngineeringSep. 2024 - Jun. 2025 -
Nanjing Normal UniversityBEng in Electrical Engineering and AutomationSep. 2021 - Jun. 2025
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Selected Publications (view all )
PIUL-DERs: Physics-Informed Pseudo-Labeling Unsupervised Learning for Smart Homes with Distributed Energy Resources
Yihan Huang, Jing Jiang#, Zhilin Gao, Hongjian Sun, Zhiwei Gao (# corresponding author)
Applied Energy 2026
This article proposes a novel algorithm PIUL-DERs, physics-informed pseudo-labeling unsupervised learning for the residential DERs management of smart homes with EV and PV systems. This work is supported by the VPP-WARD Project (https://www.vppward.com).
PIUL-DERs: Physics-Informed Pseudo-Labeling Unsupervised Learning for Smart Homes with Distributed Energy Resources
Yihan Huang, Jing Jiang#, Zhilin Gao, Hongjian Sun, Zhiwei Gao (# corresponding author)
Applied Energy 2026
This article proposes a novel algorithm PIUL-DERs, physics-informed pseudo-labeling unsupervised learning for the residential DERs management of smart homes with EV and PV systems. This work is supported by the VPP-WARD Project (https://www.vppward.com).