个人简历

2021.1至今 东南大学 副研究员\r
2022.3至今 伦敦帝国理工学院 荣誉讲师\r
2022.05-2024.04 南京天创电自技术有限公司 技术委员会专家\r
2021.03-2022.02 伦敦帝国理工学院 访问学者\r
2019.06-2020.08 英国Fetch.ai人工智能公司 机器学习科学家\r
2016.12-2020.12 伦敦帝国理工学院 博士后研究员\r
2017.05-2019.06 帝国理工咨询Imperial Consultant 独立咨询顾问\r
2012.12-2017.03 伦敦帝国理工学院 博士研究生\r
2011.09-2012.11 伦敦帝国理工学院 硕士研究生

研究领域

"""""电力市场的建模与分析、人工智能在电力及能源领域的应用、能源互联网的建模、优化与控制"

近期论文

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, early access.\r
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F. Bellizio, W. Xu, D. Qiu, Y. Ye (通讯作者), et. Al, “Transition to digitalised paradigms for security control and decentralised electricity market,” Proceedings of the IEEE, early access.\r
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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/OL]．中国电机工程学报: 1-14. DOI:10.13334/j.0258-8013.pcsee.212707.\r
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Q. Yuan，Y. Ye (通讯作者), et al, “A novel deep-learning based surrogate modeling of stochastic electric vehicle traffic user equilibrium in low-carbon electricity-transportation nexus,” Applied Energy, early access．\r
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H. Wang, Y. Ye (通讯作者), et. al, “An Efficient LP-based Approach for Spatial-Temporal Coordination of Electric Vehicles in Electricity-Transportation Nexus,” IEEE Transactions on Power Systems, early access.\r
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H. Cui, Q. Wang, Y. Ye (通讯作者), et. al, “A Combinational Transfer Learning Framework for Online Transient Stability Prediction,” Sustainable Energy, Grids and Networks, vol. 30, p. 100674, Jun. 2022.\r
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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.\r
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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．\r
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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．\r
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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. 2020.\r
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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.（单篇引用120）\r
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Y. Ye, D. Papadaskalopoulos, et. al, \