• Google scholar
• ResearchGate

期刊论文（部分）

1.  Q. Zhu, Y. Yang*, L. Yu, Q. -S. Jia, C. J. Spanos, and X. Guan，"A Generalized Virtual Energy Storage Model for V2G Charging and Discharging Flexibility Characterization"， IEEE Transactions on Smart Grid， Accepted, 2026, to appear. [Download]

2. L. Yu, H. Fang, G. Strbac, D. Qiu, Y. Yang, S. Baldi, "Risk-aware Economic Scheduling for Hydrogen-enabled Building Energy Systems Considering Extreme Weather Events", IEEE Transactions on Smart Grid, 2026, Early access. [Download]
   

3.  L. Yu, D. Yue, Y. Tan, S, Zhang, Y. Yang, C. Dou, V. Kuzin, "Online distributed coordination operation for grid-interactive efficient residential buildings", IEEE Transactions on Smart Grid, vol. 15, no. 4, pp. 3639-3652, 2023. [Download]
   

4. Y. Yang*, Q. -S. Jia, Z. Xu, X. Guan, and C. J. Spanos, “Proximal ADMM for Nonconvex and Nonsmooth Optimization.” Automatica 146 (2022): 110551. [Download]

5. Y. Yang*, Y. Chen, G. Hu and C. J. Spanos, “Optimal Network Charge for Peer-to-Peer Energy Trading: A Grid Perspective,” IEEE Transactions on Power Systems, vol. 38, no. 3, pp. 2398-2410, 2022. [Download]

6. Y. Yang*, G. Hu, and C. J. Spanos, “Optimal Sharing and Fair Cost Allocation of Community Energy Storage,” IEEE Transactions on Smart Grid, vol. 12, no. 5, pp. 4185-4194, 2021. [Download]

7. Y. Yang*, S. Srinivasan, G. Hu, and C. J. Spanos, “Distributed Control of Multi-zone HVAC Systems Considering Indoor Air Quality,” IEEE Transactions on Control System Technology, vol. 29, no. 6, pp. 2586-2597, 2021.[Download]

8. Y. Yang*, G. Hu, and C. J. Spanos, “Stochastic Optimal Control of HVAC system for Energy-efficient Buildings,” IEEE Transactions on Control Systems Technology, vol. 30, no. 1, pp. 376-383, 2021.[DownLoad]

9. Y. Yang*, G. Hu, and C. J. Spanos, “HVAC Energy Cost Optimization for a Multi-zone Building via A Decentralized Approach,” IEEE Transactions on Automation Science and Engineering, vol. 17, no. 4, pp. 1950-1960, 2020.[Download]

10. Y. Yang*, Q. -S. Jia, G. Deconinck, X. Guan, Z. Qiu, and Z. Hu, “Distributed Coordination of EV Charging with Renewable Energy in a Microgrid of Buildings,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 6253-6264, 2018. [DownLoad]

11. Y. Yang*, Q. -S. Jia, X. Guan, X. Zhang, Z. Qiu, and G. Deconinck, “Decentralized EV-based Charging Optimization with Building Integrated Wind Energy,” IEEE Transactions on Automation Science and Engineering, vol. 16, no. 3, pp. 1002-1017, 2019. [Download]

12. Y. Chen, Y. Yang, and X. Xu, “Towards transactive energy: An analysis of information-related practical issues,” Energy Conversion and Economics, vol. 3, no. 3, pp. 112-121, 2022. [Download]

13. 贾庆山, 杨玉, 夏俐, 管晓宏, “基于事件的优化方法简介及其在能源互联网中的应用,” 控制理论与应用, vol. 1, pp. 32-40, 2017. [Download]

14. T. Long, Q. -S. Jia, G. Wang, Y. Yang, “Efficient Real-Time EV Charging Scheduling via Ordinal Optimization,” IEEE Transactions on Smart Grid, vol. 12, no. 5, pp. 4029-4038, 2021. [Download]
       

会议论文（部分）

1. Z. Pu, Y. Yang*, B. Zhao, L. Yu, and X. Guan, "End-to-End Learning-based Operation of Integrated Energy Systems for Buildings and Data Centers",  Young Adults Congress of China, Accepted, 2026, to appear. 

2.  Q. Zhu, Y. Yang*,  and  X. Guan, " Surrogate Model Assisted Deep Reinforcement Learning of Energy Management for Comfort-Aware Smart Buildings,", IEEE International Conference on Automation Science and Engineering, Accepted, 2026, to appear. 

3. Y. Yang*, Q. -S. Jia, and X. Guan, “The joint scheduling of EV charging load with building mounted wind power using simulation-based policy improvement,” IEEE International Symposium on Flexible Automation (ISFA), Cleveland, Ohio, USA, Aug. 1-3, 2016, pp. 165-170. [Download]

4. Y. Yang*, Q. -S. Jia, and Xiaohong Guan, “Stochastic Coordination of Aggregated Electric Vehicle Charging with On-site Wind Power at Multiple Buildings,” 56th IEEE Conference on Decision and Control (CDC), Melbourne, Australia, Dec. 12-15, 2017, pp. 4434-4439. [Download]

5. Y. Yang*, Q. -S. Jia, and Xiaohong Guan, “Improving the Prediction Accuracy of Building Energy Consumption using Location of Occupant-A Case Study,” IEEE International Conference on Industrial Technology (ICIT), Taipei, China, Mar. 14-17, 2016, pp.1550-1555. [Download]

6. T. Wang, Y. Yang, and R. Jia. “Learnability of Learning Performance and Its Application to Data Valuation”, ICLR Workshop on Socially Responsible Machine Learning, 2022. [Download]