Yitong Shang

Yitong
SHANG
尚一通

PhD, Harbin Institute of Technology
Research Assistant Professor
Research Interests
Nexus of Transportation
Energy
Market by EV & V2G Technology
Profile

PhD in Information and Communication Engineering, Harbin Institute of Technology

Selected Publications

Yitong Shang, Sen Li. FedPT-V2G: security enhanced federated transformer learning for real-time V2G dispatch with non-IID data. Applied Energy, 2024.

Yitong Shang, Zekai Li, Sen Li, Ziyun Shao, Linni Jian. An Information security solution for vehicle-to-grid scheduling by distributed edge computing and federated deep learning. IEEE Transactions on Industrial Applications, 2024.

Yitong Shang, Weike Zheng, Xiaoyun Yan, Linni Jian. Predicting the state of health of VRLA batteries in UPS using data-driven method. Energy Reports, 2023.

Yitong Shang, Yimeng Shang, Hang Yu, Ziyun Shao, Linni Jian. Achieving efficient and adaptable dispatching for dual-task vehicle-to-grid using distributed edge computing and attention-based LSTM. IEEE Transactions on Industrial Informatics, 2022.

Yitong Shang, Hang Yu, Songyan Niu, Ziyun Shao, Linni Jian. Cyber-physical co-modeling and optimal energy dispatching within internet of smart charging points for vehicle-to-grid operation. Applied Energy, 2021.

Yitong Shang, Man Liu, Ziyun Shao, Linni Jian. Internet of smart charging points with photovoltaic Integration: A high-efficiency scheme enabling optimal dispatching between electric vehicles and power grids. Applied Energy, 2020.

Yitong Shang, Man Liu, Ziyun Shao, Linni Jian. A centralized vehicle-to-grid scheme with distributed computing capacity engaging internet of smart charging points: Case study. International Journal of Energy Research, 2020.

Yitong Shang, Yanchong Zheng, Ziyun Shao, Linni Jian. Computational performance analysis for centralized coordinated charging methods of plug-in electric vehicles: From the grid operator perspective. International Transactions on Electrical Energy Systems, 2019.

Honors and Awards

DAAD AInet Fellow, Deutscher Akademischer Austauschdiens, Germany, 2023

Rhino-Bird Talent Elite, Tencent Technology, China, 2022