| Deep reinforcement learning for strategic bidding in electricity markets Y Ye, D Qiu, M Sun, D Papadaskalopoulos, G Strbac IEEE Transactions on Smart Grid 11 (2), 1343-1355, 2019 | 271 | 2019 |
| Model-free real-time autonomous control for a residential multi-energy system using deep reinforcement learning Y Ye, D Qiu, X Wu, G Strbac, J Ward IEEE Transactions on Smart Grid 11 (4), 3068-3082, 2020 | 207 | 2020 |
| Scalable coordinated management of peer-to-peer energy trading: A multi-cluster deep reinforcement learning approach D Qiu, Y Ye, D Papadaskalopoulos, G Strbac Applied Energy 292, 116940, 2021 | 143 | 2021 |
| A deep reinforcement learning method for pricing electric vehicles with discrete charging levels D Qiu, Y Ye, D Papadaskalopoulos, G Strbac IEEE Transactions on Industry Applications 56 (5), 5901-5912, 2020 | 113 | 2020 |
| Reinforcement learning for electric vehicle applications in power systems: A critical review D Qiu, Y Wang, W Hua, G Strbac Renewable and Sustainable Energy Reviews 173, 113052, 2023 | 102 | 2023 |
| Safe reinforcement learning for real-time automatic control in a smart energy-hub D Qiu, Z Dong, X Zhang, Y Wang, G Strbac Applied Energy 309, 118403, 2022 | 100 | 2022 |
| Multi-agent deep reinforcement learning for resilience-driven routing and scheduling of mobile energy storage systems Y Wang, D Qiu, G Strbac Applied Energy 310, 118575, 2022 | 83 | 2022 |
| Multi-period and multi-spatial equilibrium analysis in imperfect electricity markets: A novel multi-agent deep reinforcement learning approach Y Ye, D Qiu, J Li, G Strbac IEEE Access 7, 130515-130529, 2019 | 79 | 2019 |
| Multi-agent reinforcement learning for automated peer-to-peer energy trading in double-side auction market D Qiu, J Wang, J Wang, G Strbac Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 58 | 2021 |
| Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading D Qiu, J Xue, T Zhang, J Wang, M Sun Applied Energy 333, 120526, 2023 | 57 | 2023 |
| Coordinated Electric Vehicle Active and Reactive Power Control for Active Distribution Networks Y Wang, D Qiu, G Strbac, Z Gao IEEE Transactions on Industrial Informatics, 2022 | 54 | 2022 |
| Hybrid multiagent reinforcement learning for electric vehicle resilience control towards a low-carbon transition D Qiu, Y Wang, T Zhang, M Sun, G Strbac IEEE Transactions on Industrial Informatics 18 (11), 8258-8269, 2022 | 52 | 2022 |
| Real-time autonomous residential demand response management based on twin delayed deep deterministic policy gradient learning Y Ye, D Qiu, H Wang, Y Tang, G Strbac Energies 14 (3), 531, 2021 | 51 | 2021 |
| Mean-field multi-agent reinforcement learning for peer-to-peer multi-energy trading D Qiu, J Wang, Z Dong, Y Wang, G Strbac IEEE Transactions on Power Systems 38 (5), 4853-4866, 2022 | 49 | 2022 |
| Towards Microgrid Resilience Enhancement Via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach Y Wang, D Qiu, F Teng, G Strbac IEEE Transactions on Power Systems, 2023 | 44 | 2023 |
| Secure energy management of multi-energy microgrid: A physical-informed safe reinforcement learning approach Y Wang, D Qiu, M Sun, G Strbac, Z Gao Applied Energy 335, 120759, 2023 | 41 | 2023 |
| Hierarchical multi-agent reinforcement learning for repair crews dispatch control towards multi-energy microgrid resilience D Qiu, Y Wang, T Zhang, M Sun, G Strbac Applied Energy 336, 120826, 2023 | 37 | 2023 |
| Resilience enhancement of multi-agent reinforcement learning-based demand response against adversarial attacks L Zeng, D Qiu, M Sun Applied Energy 324, 119688, 2022 | 37 | 2022 |
| Multi-service provision for electric vehicles in power-transportation networks towards a low-carbon transition: A hierarchical and hybrid multi-agent reinforcement learning … D Qiu, Y Wang, M Sun, G Strbac Applied Energy 313, 118790, 2022 | 34 | 2022 |
| Strategic retail pricing and demand bidding of retailers in electricity market: A data-driven chance-constrained programming D Qiu, Z Dong, G Ruan, H Zhong, G Strbac, C Kang Advances in Applied Energy 7, 100100, 2022 | 30 | 2022 |
Goran StrbacProfessor of Energy Systems, Imperial College LondonGeverifieerd e-mailadres voor imperial.ac.uk