Academic Experiences

2014.09-2019.06  Electrical Engineering, Shanghai Jiao Tong University，Ph.D.，Supervisor：Prof. Zheng Yan

2012.03-2014.06 Antai College of Economics and Management，Shanghai Jiao Tong University, B.B.A (Second Major)

2010.09-2014.06 Electrical Engineering and Automation, Shanghai Jiao Tong University，B.E.

Working Experiences

2023.1 – Today College of Smart Energy, Shanghai Jiao Tong University, Assistant Professor, (Ph.D. supervisor)

2019.11-2022.12 FREEDM Systems Center, North Carolina State University, Postdoc Research Scholar, Supervisor: Prof. Ning Lu (IEEE Fellow)

2019.07-2019.10 Electrical Engineering, Shanghai Jiao Tong University, Postdoc Research Scholar, Supervisor: Prof. Zheng Yan

Power distribution system synthetic data generation and situational awareness, Application of AI in power distribution systems

1. Yiyan Li*, Lidong Song, Si Zhang, et al. A TCN-based Hybrid Forecasting Framework for Hours-ahead Utility-scale PV Forecasting[J]. IEEE Transactions on Smart Grid, 2023.

2. Yiyan Li*, Si Zhang, Rongxing Hu, and Ning Lu. A meta-learning based distribution system load forecasting model selection framework[J]. Applied Energy,294 (2021): 116991.

3.Yiyan Li, Zheng Yan, Sijie Chen*, Xiaoyuan Xu, and Chongqing Kang. Operation strategy of smart thermostats that self-learn user preferences[J]. IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 5770-5780, 2019.

4.Yiyan Li, Xiaoyuan Xu, Sijie Chen, and Zheng Yan. Determine the reliable generating capacity of power systems with high HVDC penetration considering both stability and ancillary service requirements[J]. IET Generation, Transmission & Distribution, vol. 12, no. 3, pp. 540-547, 2017.

5.Yiyan Li, Dong Han, and Zheng Yan. Long-term system load forecasting based on data-driven linear clustering method[J]. Journal of Modern Power Systems and Clean Energy, vol.6, no. 2, pp. 306-316, 2018.

6.Song, Lidong, Yiyan Li*, and Ning Lu. "ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles." IEEE Transactions on Smart Grid (2022).

7. Qiangang Jia, Sijie Chen, Zheng Yan, Yiyan Li*. Optimal Incentive Strategy in A Cloud-Edge Integrated Demand Response Framework for Residential Air Conditioning Loads. IEEE Transactions on Cloud Computing, 2021

8. Yiyan Li, Rongxing Hu, Lidong Song, Qiangang Jia, Ning Lu. Application of machine learning in field of smart power distribution and utilization: overview of engineering practice in north America. Automation of Electric Power Systems, 2021, 45(16): 99-113.

9. Yiyan Li, Dong Han, Zheng Yan, Xiaobo Ling. Saturated load forecasting model under complex urbanization characteristics. Power System Technology, 2016, 40(09): 2824-2831.

10. Yiyan Li, Zheng Yan, Donghan Feng. Mid/long-term load forecasting model considering urbanization characteristics. Electric Power Automation Equipment, 2016, 36(04): 54-61.

1. Power system synthetic data generation based on Artificial Intelligence，Shanghai Science and Technology Innovation Plan，2023 – 2026，PI

2. Transformer meter fault identification based on temporal convolutional nets, Science and Technology project of State Grid, 2022 – 2023, PI

3. Startup funding of Shanghai Jiao Tong University, 2023 – 2026, PI

4. Economical Data-fused Grid Edge Processor (EDGEPRO) for Distribution Grid Control, U.S. Department of Energy, 2019 – 2022, Major Participant

5. PV Analysis and Response Support Platform for Solar Situational Awareness and Resiliency Services, U.S. Department of Energy, 2019 – 2022, Major Participant

6. Research for energy system interconnection and power grid management mechanism in serving Yangtze River Delta integration, management & consulting project of State Grid, 2019 – 2020, Major Participant

7. Dispatching & decision-making mechanism for wind/solar power considering forecasting uncertainty. National Key Research and Development Program, 2018 – 2021, participant.

8. Data collection and power generation forecasting for low-voltage distributed PV systems in East China Grid, Science and Technology project of State Grid, 2018 – 2019, participant.

9. Research for key technologies for the security operation of smart distribution systems based on micro phase measurement unit, National Key Research and Development Program, 2017 – 2020, participant.

10. Policy tracking and renewable energy integration capability analysis for East China Grid, management & consulting project of State Grid, 2016 – 2018, participant.

1. NCSU Postdoc Pack Service Award (top 2%), 2020

2. Shanghai Super-postdoc Incentive Program, 2019

3. Outstanding graduate student award in Shanghai Jiao Tong University, 2019

4. Best reviewer award of MPCE journal, 2019