Summary
Dr. Dawei Qiu is a Research Fellow in the Department of Electrical and Electronic Engineering, Imperial College London.
Dr. Qiu received the B.Eng. degree in Electrical and Electronic Engineering from Northumbria University in 2014, the M.Sc. degree in Power System Engineering from University College London in 2015, and the Ph.D. degree in Electrical Engineering from Imperial College London in 2020. After graduation, Dr. Qiu was employed as a Research Associate at Imperial College London. Since June 2023, Dr. Qiu has been promoted to be a Research Fellow in Market Design for Low-Carbon Energy Systems at Imperial College London.
His research mainly focuses on the development and application of decentralised and market-based approaches for the electricity market, peer-to-peer energy trading, multi-energy system integration, and microgrid resilience control. In particular, he has a strong background in game-theoretic modelling and reinforcement learning approaches. He has published more than 40 peer-reviewed papers, including 20 first-author or corresponding-author journal publications in IEEE Transactions, Applied Energy, and IET, as well as 1 first-authored paper published in the world A-class AI conference IJCAI2021.
Publications
Journals
Qiu D, Baig AM, Wang Y, et al., 2024, Market design for ancillary service provisions of inertia and frequency response via virtual power plants: A non-convex bi-level optimisation approach, Applied Energy, Vol:361, ISSN:0306-2619
Wang Y, Qiu D, Sun X, et al., 2024, Coordinating multi-energy microgrids for integrated energy system resilience: a multi-task learning approach, Ieee Transactions on Sustainable Energy, Vol:15, ISSN:1949-3029, Pages:920-937
Qiu D, Wang Y, Wang J, et al., 2024, Resilience-oriented coordination of networked microgrids: a shapley Q-value learning approach, Ieee Transactions on Power Systems, Vol:39, ISSN:0885-8950, Pages:3401-3416
Wang Y, Qiu D, Wang Y, et al., 2024, Graph Learning-Based Voltage Regulation in Distribution Networks With Multi-Microgrids, Ieee Transactions on Power Systems, Vol:39, ISSN:0885-8950, Pages:1881-1895
Wang Y, Qiu D, Teng F, et al., 2024, Towards microgrid resilience enhancement via mobile power sources and repair crews: a multi-agent reinforcement learning approach, Ieee Transactions on Power Systems, Vol:39, ISSN:0885-8950, Pages:1329-1345