2014.09-2019.06 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

2019.11-今           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.电子与计算机工程系

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

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

3.服务长三角一体化发展的能源互联及电网运行管理机制研究,  国家电网公司管理咨询项目, 参与, 2019 - 2020

4.考虑预测不确定性的风电/光伏风险调度决策方法, 国家重点研发计划, 参与, 2018 - 2021

5.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

6.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

7.华东电网新能源政策跟踪及新能源消纳承载能力分析方法研究, 国家电网公司管理咨询项目, 参与, 2016 - 2018

8.特高压电网环境下全网发电资源最优化市场交易模式研究, 国家电网公司科技项目, 参与, 2016 - 2017

9.华东电网调度运行管理指标体系及先进实践, 国家电网公司管理咨询项目, 参与, 2015 - 2017

10.新形势下电力需求及售电市场分析预测技术研究, 国家电网公司科技项目, 参与, 2014 - 2015

1.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.

2.Yiyan Li*, Lidong Song, Si Zhang, Ning Lu. A TCN-based Spatial-Temporal PV Forecasting Framework with Automated Detector Network Selection. IEEE Transactions on Sustainable Energy (2nd round review, available at: https://arxiv.org/abs/2111.08809) 

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.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. 

9.李亦言,韩冬,严正,凌晓波. 复杂城市化因素下的饱和负荷预测模型[J]. 电网技术, 2016, 40(09): 2824-2831. 

10.李亦言,严正,冯冬涵. 考虑城市化因素的中长期负荷预测模型[J]. 电力自动化设备, 2016, 36(04): 54-61. 

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

2.上海市超级博士后激励计划, 2019

3.上海交通大学优秀博士毕业生, 2019

4.MPCE期刊年度优秀审稿人, 2019