I am a final-year Ph.D. student in the Department of Computing at Hong Kong Polytechnic University, advised by Prof. Dan Wang. Before that, I received my bachelor’s and master’s degrees from the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, in 2020 and 2022, respectively. My research centered on the intersection of sustainable energy systems and data-driven optimization under uncertainty. She focuses on developing carbon-aware operational strategies and robust optimization methods for energy systems to achieve low/net-zero emissions with statistical guarantee, specifically addressing challenges posed by forecasting uncertainties, leveraging data-driven and ML/DL techniques (e.g., conformal prediction), and robust optimization (e.g., chance-constrained programming, distributionally robust optimization).
🔥 News
- 2025.06: 🎉🎉 Uncertainty-aware Day-ahead Datacenter Workload Planning with Load-following Small Modular Reactors is accepted by HotCarbon Workshop on Sustainable Computer Systems, 2025.
📝 Publications
Data-Driven Low-Carbon Operation of Energy Systems under Uncertainty
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[1] Carbon-Aware Scheduling of Thermostatically Controlled Loads: A Bilevel DRCC Approach
Yijie Yang, Jian Shi, Dan Wang, Chenye Wu, and Zhu Han
IEEE Transactions on Smart Grid (TSG, impact factor: 9.8, JCR Q1), 2025. 10.1109/TSG.2024.3525134 -
[2] Net-Zero Scheduling of Multi-energy Building Energy Systems: A Learning-based Robust Optimization Approach with Statistical Guarantees
Yijie Yang, Jian Shi, Dan Wang, Chenye Wu, and Zhu Han
IEEE Transactions on Sustainable Energy (TSTE, impact factor: 10, JCR Q1), 2024. 10.1109/TSTE.2024.3437210 -
[3] Uncertainty-aware Day-ahead Datacenter Workload Planning with Load-following Small Modular Reactors
Yijie Yang, Dan Wang, Jian Shi, Chenye Wu, and Zhu Han
ACM SIGEnergy Energy Informatics Review (EIR), 2025, 10.1145/3757892.3757905 -
[4] A Conformal Prediction-Based Chance-Constrained Programming Approach for 24/7 Carbon-Free Data Center Operation Scheduling
Yijie Yang, Jian Shi, Dan Wang, Chenye Wu, and Zhu Han
IEEE Transactions on Smart Grid (TSG), Under Review.
Carbon Accounting of Computer Systems
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[1] Spatial-Temporal Embodied Carbon Models for the Embodied Carbon Accounting of Computer System
Xiaoyang Zhang, Yijie Yang, Dan Wang
Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems (E-Energy). 10.1145/3632775.3661939 -
[2] Spatial-Temporal Embodied Carbon Models with Dual Carbon Attribution for Embodied Carbon Accounting of Computer Systems
Xiaoyang Zhang, Yijie Yang, Dan Wang
IEEE Transactions on Computers (TC), Under Review.
Power System Decarbonization
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[1] Identifying Operation Equilibrium in Integrated Electricity, Natural Gas, and Carbon-Emission Markets
Yijie Yang, Jian Shi, Dan Wang, Chenye Wu, and Zhu Han
arXiv preprint arXiv:2210.09813 -
[2] A Multi-Layered Framework for Advancing Rapid and Balanced Electric Power System Decarbonization
Jian Shi, Zirui Tong, Dan Wang, Chenye Wu, Zhu Han, Yijie Yang, and Kaushik Rajashekara
PNAS Nexus, Under Review. -
[3] Co-Optimizing Carbon Allowance Trading and Power Dispatch With Spot–Futures Market Coupling Under Uncertainty
Zirui Tong, Jian Shi, Yijie Yang, Dan Wang, Chenye Wu, Zhu Han
IEEE Transactions on Energy Markets, Policy, and Regulation, Under Review.
🎖 Honors and Awards
- 2019: First Prize of National Mathematical Modeling Competition for College Students
- 2019: Third Prize of National IoT Design Competition for College Students, Heilongjiang District
- 2019: Honorable Mention of Mathematical Contest in Modeling
- 2016-2020: People’s Scholarship, Harbin Institute of Technology
💻 Teaching Experience
- 2021: Teaching Assistant for System Programming
- 2021: Teaching Assistant for Object-Oriented Programming
- 2021, 2022, 2023, 2024: Teaching Assistant for Social and Collaborative Computing
🛠 Skills
- Programming Languages: Python, Matlab, C, C++, Java, MySQL, MongoDB.
- ML/DL Tools: PyTorch, Tensorflow, Wandb.
- Language Skills: TOEFL (99)