电话：64355111—6395
邮箱：yiyan.li (at) sjtu.edu.cn
办公地点：东部行政楼2032014.09-2019.06 上海交通大学电气工程系，博士，导师：严正
2012.03-2014.06 上海交通大学安泰经济与管理学院管理科学系，学士(第二学位)
2010.09-2014.06 上海交通大学电气工程系，学士
2023.1 – 至今 best365网页版登录官网 助理教授（博士生导师）
2019.11-2022.12 美国北卡罗莱纳州立大学FREEDM Systems Center博士后 合作导师：陆宁(IEEE Fellow)
2019.07-2019.10 上海交通大学电气工程系博士后，合作导师：严正、杨博
1.配用电数据生成与态势感知
2.配用电人工智能技术
1. 融合拓扑挖掘与可解释机器学习的配电网馈线模型衍生方法，国家自然科学基金青年项目，2024 – 2026，主持
2. 基于人工智能的电力系统数据衍生方法，上海市“科技创新行动计划”启明星项目(扬帆专项)，2023 – 2026，主持
3. 人工智能在电缆输电线路评审中的应用研究，国网科技项目，2023 – 2024，主持
4. 上海交通大学科研启动经费，2023 – 2026，主持
5. 基于时间卷积网络的台区总表故障智能辨识技术，国网科技项目，2022 – 2023，主持
6. 考虑广义源-荷不确定性的配电网-交通网耦合机理与协调优化研究，国家自然科学基金联合基金项目，参与
7. Economical Data-fused Grid Edge Processor (EDGEPRO) for Distribution Grid Control, U.S. Department of Energy, Major Participant, 2019 – 2022
8. PV Analysis and Response Support Platform for Solar Situational Awareness and Resiliency Services, U.S. Department of Energy, Major Participant, 2019 – 2022
9. 华东低压分布式光伏综合信息采集及预测技术研究, 国家电网公司科技项目, 参与, 2018 - 2019
10. 基于微型同步相量测量装置的智能配电网安全运行关键技术研究, 国家重点研发计划, 参与, 2017 - 2020
1. Yiyan Li, Lidong Song*, Yi Hu, et al. Load Profile Inpainting for Missing Load Data Restoration and Baseline Estima[J]. IEEE Transactions on Smart Grid, 2023.
2. 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.
3. 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.
4.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.
5.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.
6.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.
7.Yiyan Li, Dong Han, and Zheng Yan. MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations[J]. IEEE Transactions on Smart Grid, 2023.
8.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.
9. 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
10.李亦言,胡荣兴,宋立冬,贾乾罡,陆宁. 机器学习在智能配用电领域中的应用：北美工程实践概述[J]. 电力系统自动化, 2021, 45(16): 99-113.
严正,徐潇源,孔祥瑞,李亦言. 智能配电网运行状态估计技术. ISBN: 9787030687753, 科学出版社, 2021.
1.上海市海外领军人才, 2023
2.NCSU Postdoc Pack Service Award (top 2%), 2020
3.上海市超级博士后激励计划, 2019
4.上海交通大学优秀博士毕业生, 2019
5.MPCE期刊年度优秀审稿人, 2019
