Energy Networked Intelligence for Grid Modernalization and Automation Laboratory
职称：国家青年高层次人才、东南大学青年首席教授、博士生导师、XX青年学者、青年五四奖章获得者
研究方向:
低碳城市能源–交通–信息互联网的建模、控制与分析
新一代大数据与人工智能技术在电力及能源领域应用
适应新型电力系统的多层次统一电力市场建模与分析
邮箱：yeyujian@seu.edu.cn
Yujian Ye
Professor
叶宇剑，国家高层次人才（青年），东南大学青年首席教授、博士生导师、XX青年学者（电气工程学院首个），北京中关村学院博士生导师（东南大学首批），伦敦帝国理工学院荣誉讲师、校长奖学金（全额）博士，英国皇家特许工程师（Charted Engineer，CEng），IEEE系统、人与控制论协会（IEEE SMC）南京分会主席，XX-东南大学宏微观一体化仿真创新实验室副主任，伦敦帝国理工学院华东校友会理事（分管智能电网方向）。IEEE、中国计算机学会、中国电机工程学会、中国电工技术学会、中国人工智能学会、中国自动化学会、亚太人工智能学会高级会员。
现主持国家自然科学基金项目3项（XX、面上、青年）、江苏省自然科学基金青年项目1项、CCF-腾讯犀牛鸟基金项目1项（优秀结题并获腾讯公司滚动资助）、国网/南网总部科技项目、五大发电集团科技项目、XX、腾讯等校企合作横向课题10余项，参与国家自然科学基金国际（地区）合作与交流项目1项。曾作为伦敦帝国理工学院骨干，参与欧盟委员会“地平线2020”框架项目等国际项目10余项，总投资额逾4000万英镑。
入选斯坦福全球前2%顶尖科学家榜单，作为第一/通讯作者在Nature子刊Nature Review Electrical Engineering、IEEE旗舰期刊Proceedings of the IEEE、IEEE P&E Magazine、IEEE Transactions等中科院一区Top期刊上发表高水平论文30余篇，累积影响因子破300，3篇入选ESI高被引；发表2篇CCF A类人工智能会议论文。论文入选中信所中国精品科技期刊顶尖学术论文（F5000）、中国科协科技期刊双语传播工程、IEEE PESGM最佳会议论文、中国工程院工程科技学术研讨会优秀论文，授权国家发明专利14项、国际（美国）专利2项。
近3年获中国电力优秀青年科技人才奖、IEEE PES中国专业分会联合会优秀青年工程师奖、中国发明协会创业奖创新奖一等奖（排名第1），吴文俊人工智能优秀青年奖，中国能源研究会优秀青年能源科技工作者奖，华为挑战难题“价值火花奖”，江苏省自动化学会科学技术一等奖（排2）；东南大学青年五四奖章、优秀班主任标兵、优秀本科生导师、优秀本科学优生导师等荣誉。
担任IEEE Trans. Smart Grid、IEEE Power Engineering Letters、IEEE Trans. Industrial Informatics、Applied Energy、IEEE Trans. Industry Applications等多个期刊编委；IET Smart Grid“Emerging Smart Grid Technologies”主题编辑；电力系统保护与控制、中国电力等青年编委；中国电机工程学报、IEEE Trans. Smart Grid等专题编委。担任中国人工智能学会智能自适应协同优化控制专业委员会委员、中国自动化学会能源互联网专业委员会、智能分布式能源专委会委员。
Prof.Ye 's research is supported by:
Recent News
- Nov. 05, 2025：祝贺课题组博士研究生吴奕之的论文“弥合配电系统恢复调度仿真-现实间隙的两阶段数据-机理融合优化架构” 被中国电机工程学报 录用！
- Dec. 25, 2025：祝贺课题组叶宇剑教授的论文“Guest Editorial: Cybersecurity and Resilience of Networked Microgrids” 被 IEEE 期刊录用！
- Dec. 16, 2025：祝贺课题组博士研究生张屹灵的论文 “Dual-Agent with LSTM Reinforcement Learning for Energy-Efficienttask Scheduling of Data Centers”被 ECE2025 会议录用！
- Dec. 16, 2025：祝贺课题组博士研究生刘曦木的论文 “Cold Climate-Aware Dynamic Traffic Assignment for Electric Vehicle Coordination in CoupledPower-Transportation Networks”被 ECE2025 会议录用！
- Dec. 16, 2025：祝贺课题组博士研究生刘曦木的论文 “Two-Stage Bidding for Integrated PV_BESS-EV Charging Station in Electricity Spot Marketwith a Scenario-Based GBD Framework”被 ECE2025 会议录用！
- Dec. 16, 2025：祝贺课题组叶宇剑教授的论文“基于预设时间滑模的多直线电机系统位置协同控制” 被 控制与决策 期刊录用！
- Dec. 04, 2025：祝贺课题组博士研究生张屹灵的论文 “Constrained Semi-MDP Formulation and Perception-Enhanced Safe Policy Learning for Efficient Dynamic Task Scheduling of Data Centers”被 IEEE Transactions on Smart Grid 期刊录用！
- Oct. 24, 2025：祝贺由东南大学 Enigma Lab与南京信息工程大学联合组成的团队在第三届全国人工智能应用场景创新挑战赛荣获特等奖！
- Oct. 22, 2025：祝贺课题组硕士研究生马丁的论文 “Harvesting Spatial-Temporal Load Migration Flexibility of Data Centers: A Chance-Constrained Bi-Level Optimization Model with Endogenously Formed Risk-Reflective Locational Prices”被 Applied Energy 期刊录用！
- Oct. 21, 2025：祝贺课题组硕士研究生郭锡瑾荣获2025年硕士至善奖学金，祝贺课题组硕士研究生马丁荣获2025-2026学年电气工程学院研究生一等学业奖学金！
- Oct. 16, 2025：祝贺叶宇剑教授入选《全球前2%顶尖科学家榜单2025（World’s Top 2% Scientists 2025）》，在本次榜单中，叶宇剑教授入选“年度科学影响力榜单”，连续上榜 2024、2025 两年，学科领域为 Enabling & Strategic Technologies—Energy。
- Sept. 29, 2025: Congratulations to the joint team of Enigma Lab from Southeast University and the University of Nottingham Ningbo for winning the first prize in CHINA’S INNOVATION CHALLENGE ON ARTIFICIAL INTELLIGENCE APPLICATION SCENE
- Aug. 27, 2025: The National Natural Science Foundation of China (NSFC) announced the review results of the 2025 General Program application period on 27/08/2025. Congratulations to Dr. Jianxiong Hu and Dr. Bin Zhang from Enigma Lab for having both of their Young Scientists Fund (Category C) proposals approved.
- Aug. 11, 2025: Professor Yujian Ye attended the 2nd AI for Engineering Conference in Harbin, China, and delivereda report titled “Preliminary Study on AI Agents for Efficient Perception and Control in Advanced Power System.”
- Aug. 07, 2025: Professor Yujian Ye attended the 14th China-Korea Joint Symposium on High Renewable Energy Penetration to Power Systems in Jilin, China, and delivered a report titled “Whole-system Modeling for Coupled Power Distribution and Transportation Systems.”
- Aug. 04, 2025: Professor Yujian Ye attended the 4th International Conference on Power Systems and Electrical Technology (PSET 2025) in Tokyo, Japan, as a member of the Technical Program Committee.
- Aug. 01, 2025: Congratulations to Ph.D. student Wentao Lv for having our paper titled “Sustainable electrified seaports: A coordinated energy and logistics scheduling approach for future maritime hubs” accepted by Applied Energy.
- Jul. 07, 2025:Professor Yujian Ye attended the International Council on Electrical Engineering (ICEE2025) in Wuhan, China, and delivered a report titled “AI for Supporting Power System Operation and Renewable Energy Integration.”
- Jul. 05, 2025: Congratulations to master’s student Xijin Guo for having our paper titled “Leveraging Extranet Computation Security for Collaborative Wind Generation Forecasting via Secure Multiparty Computation” accepted by CSEE Journal of Power and Energy Systems.
- Jun. 23, 2025: Congratulations to master’s student Haoyu Liu for having our paper titled “Spatiotemporal coordination of electric vehicle traffic and energy flows in coupled power-transportation networks with multiple energy replenishment and vehicle-to-grid strategies
“ accepted by Applied Energy. - May. 12, 2025: Congratulations to master’s student Ding Ma for having our paper titled “Bi-Level Optimisation Model for Harvesting Spatial-Temporal Load Shifting Flexibility of Data Centres Using Endogenously Formed Locational Price Signal” accepted by IET Smart Grid.
- May. 06, 2025: Congratulations to master’s student Xijin Guo for having our paper titled “Advancing Privacy-Preserving Wind Generation Forecasts With Selective Spatial-Temporal Dependencies Extraction, Encryption and Sharing“accepted by IEEE Transactions on Smart Grid.
- Dec. 11, 2024: Congratulations to master’s student Ding Ma for winning the Best Paper Award at ECE Forum 2024
Selected Publications
Y. Ye; Modelling and Analysing the Market Integration of Flexible Demand and Storage Resources; Nanjing: Southeast University Press & Springer, Aug. 2022.
叶宇剑，吴奕之，胡健雄,等．城市电力–交通耦合系统的联合推演与协同优化：研究综述、挑战与展望[J/OL]．中国电机工程学报，1-20．http://kns.cnki.net/kcms/detail/ 11.2107.TM.20241223.1243.014.html.
叶宇剑，吴奕之，胡健雄，等．市场环境下智能配用电系统分层协同优化运行：研究挑战、进展与展望[J]．中国电机工程学报，2024，44(06)：2078-2097．
叶宇剑，袁泉，刘文雯，等．基于参数共享机制多智能体深度强化学习的社区能量管理协同优化[J]．中国电机工程学报，2022，42(21)：7682-7695．
叶宇剑,袁泉,汤奕，等.抑制柔性负荷过响应的微网分散式调控参数优化[J]．中国电机工程学报，2022，42(05)：1748-1760．
叶宇剑，王卉宇，汤奕，等．基于深度强化学习的居民实时自治最优能量管理策略[J]．电力系统自动化，2022，46(01)：110-119．
叶宇剑，王卉宇，刘曦木，等．电–碳耦合市场环境下可再生能源投资规划优化方法[J]．电力系统自动化，2023，47(23)：92-104.
Y. Ye, H. Wang, et. al, “Identifying Generalizable Equilibrium Pricing Strategies for Charging Service Providers in Coupled Power and Transportation Networks,”Advances in Applied Energy, vol. 12, p. 100151, Sep. 2023.
Y. Ye, X. Guo, et. al, “Advancing Privacy-Preserving Wind Generation Forecasts with Selective Spatial-Temporal Dependencies Extraction, Encryption and Sharing,”IEEE Transactions on Smart Grid, early access.
Y. Ye,Y. Tang, et. al, “Multi-agent Deep Reinforcement Learning for Coordinated Energy Trading and Ancillary Services Provision in Local Electricity Markets,”IEEE Transactions on Smart Grid, vol. 14, no. 2, pp. 1541-1554, Mar. 2023.
Y. Ye,H. Wang, et. al, “Safe Deep Reinforcement Learning for Microgrid Energy Management in Distribution Networks with Leveraged Spatial-Temporal Perception,”IEEE Transactions on Smart Grid, vol.14, no. 5, pp. 3759-3775, Sep. 2023.
Y. Ye,Y. Tang, et. al, “A Scalable Privacy-Preserving Multi-agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading,”IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 5185-5200, Nov. 2021.
Y. Ye, D. Qiu, et. al, “Deep Reinforcement Learning for Strategic Bidding in Electricity Markets,”IEEE Transactions on Smart Gird, vol. 11, no. 2, pp. 1343-1355, Mar. 2020.
Y. Ye, D. Qiu, et. al, “Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning,”IEEE Transactions on Smart Grid, vol. 11, no. 4, pp. 3068-3082, Jul. 2021.
Y. Ye, D. Papadaskalopoulos, et. al, “Incorporating Non-Convex Operating Characteristics into Bi-Level Optimization Electricity Market Models”,IEEE Transactions on Power Systems, vol. 35, no. 1, pp. 163-176, Jan. 2020.
Y. Ye, D. Papadaskalopoulos, et. al, “Investigating the ability of demand shifting to mitigate electricity producers’ market power”,IEEE Transactions on Power Systems, vol. 33, no. 4, pp. 3800-3811, Jul. 2018.
Y. Ye, D. Papadaskalopoulos, et. al, “Factoring flexible demand non-convexities in electricity markets,”IEEE Transactions on Power Systems, vol. 30, no. 4, pp. 2090-2099, Jul. 2015.
Y. Ye, Y. Wu, J. Hu, et. al, “Physics-Guided Safe Policy Learning with Enhanced Perception for Real-Time Dynamic Security Constrained Optimal Power Flow”,Journal of Modern Power Systems and Clean Energy, early access.
Z. Zhu, S. Bu, KW. Chan, F. Li, Y. Ye*, et. al, “Designing the future electricity spot market with high renewables via reliable simulations,”Nature Review Electrical Engineering, early access.
F. Bellizio, W. Xu, D. Qiu,Y. Ye*, et. al, “Transition to digitalised paradigms for security control and decentralised electricity market,”Proceedings of the IEEE, vol. 111, no. 7, pp. 744-761, July 2023.
Q. Ma,Y. Ye*, et. al, “Carbon Cap Based Multi-Energy Sharing among Heterogeneous Microgrids Using Multi-Agent Safe Reinforcement Learning Method with Credit Assignment and Sequential Update”,Applied Energy, early access.
X. Liu, Y. Ye*, et. al, “Carbon-Aware Peer-to-Peer Energy Trading in An Unbalanced Distribution Network via A Nash Equilibrium Discovery Deep Reinforcement Learning Approach,”IEEE Transactions on Smart Grid, early access.
Y. Wu,Y. Ye*, et. al, “Chance Constrained MDP Formulation and Bayesian Advantage Policy Optimization for Stochastic Dynamic Optimal Power Flow”,IEEE Transactions on Power Systems, vol. 39, no. 5, pp. 6788-6791.
J. Hu,Y. Ye*, et. al, “Rethinking Safe Policy Learning for Complex Constraints Satisfaction: A Glimpse in Real-Time Security Constrained Economic Dispatch Integrating Energy Storage Units”,IEEE Transactions on Power Systems, vol. 40, no. 1, pp. 1091-1104, Jan. 2025.
J. Hu,Y. Ye*, et. al, “Towards Risk-Aware Real-Time Security Constrained Economic Dispatch: A Tailored Deep Reinforcement Learning Approach”,IEEE Transactions on Power Systems, vol. 39, no. 2, pp. 3972-3986, Mar. 2024.
H. Cui, Y. Ye*,et. al, “Online Preventive Control for Transmission Overload Relief Using Safe Reinforcement Learning with Enhanced Spatial-Temporal Awareness,”IEEE Transactions on Power Systems, vol. 39, no. 1, pp.517-532, Dec. 2023.
H. Wang,Y. Ye*, et. al, “An Efficient LP-based Approach for Spatial-Temporal Coordination of Electric Vehicles in Electricity-Transportation Nexus,”IEEE Transactions on Power Systems, vol. 38, no. 3, pp. 2914-2925, May 2023.
J. Li, Y. Ye*, et. al, “Distributed Consensus-Based Coordination of Flexible Demand and Energy Storage Resources,” IEEE Transactions on Power Systems, vol. 36, no. 4, pp. 3053-3069, Jul. 2021.
J. Li, Y. Ye*, et. al, “Computationally Efficient Pricing and Benefit Distribution Mechanisms for Incentivizing Stable Peer-to-Peer Energy Trading,”IEEE Internet of Things Journal,vol. 8, no. 2, pp. 734-749, Jan. 2021.
Q. Yuan,Y. Ye*, et al,“A Novel Deep-Learning based Surrogate Modeling of Stochastic Electric Vehicle Traffic User Equilibrium in Low-Carbon Electricity-Transportation Nexus,”Applied Energy, vol. 315, p. 118961, Jun. 2022.
Q. Yuan,Y. Ye*, et al,“Low Carbon Electric Vehicle Charging Coordination in Coupled Transportation and Power Networks,”IEEE Transactions on Industry Applications,vol. 59, no. 2, pp. 2162-2172, Mar./Apr. 2023.
P. Chen.Y. Ye*, et al, “Holistic Coordination of Transactive Energy and Carbon Emission Right Trading for Heterogenous Networked Multi-Energy Microgrids: A Fully Distributed Adaptive Consensus ADMM Approach,”Sustainable Energy Technologies and Assessments, vol. 64, p. 103729, Apr. 2024.
Y. Zhang, W. Qian,Y. Ye*, et al, “A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with residential houses,”Applied Energy, vol. 349, p. 121703, Aug. 2023.
X. Zhang, Z. Dong, F. Huangfu,Y. Ye*, et al, “Strategic dispatch of electric buses for resilience enhancement of urban energy systems,”Applied Energy, vol. 361, p. 122897, May 2024.
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Contact
Email：yeyujian@seu.edu.cn
Address：Room 817, Zonghe Building, School of Electrical Engineering, Southeast University, No 2 Sipailou, Nanjing, Jiangsu Province 210096, P. R. China
