| On microgrids and resilience: A comprehensive review on modeling and operational strategies Y Wang, AO Rousis, G Strbac Renewable and Sustainable Energy Reviews 134, 110313, 2020 | 155 | 2020 |
| Resilience-driven optimal sizing and pre-positioning of mobile energy storage systems in decentralized networked microgrids Y Wang, AO Rousis, G Strbac Applied Energy 305, 117921, 2022 | 62 | 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 | 50 | 2022 |
| 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 | 44 | 2023 |
| A three-level planning model for optimal sizing of networked microgrids considering a trade-off between resilience and cost Y Wang, AO Rousis, G Strbac IEEE Transactions on Power Systems 36 (6), 5657-5669, 2021 | 42 | 2021 |
| Hybrid Multi-Agent 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, 2022 | 34 | 2022 |
| 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 19 (2), 1611-1622, 2022 | 29 | 2022 |
| A resilience enhancement strategy for networked microgrids incorporating electricity and transport and utilizing a stochastic hierarchical control approach Y Wang, AO Rousis, G Strbac Sustainable Energy, Grids and Networks 26, 100464, 2021 | 29 | 2021 |
| 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 | 23 | 2022 |
| 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 | 21 | 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 | 17 | 2023 |
| Resilience-driven modeling, operation and assessment for a hybrid AC/DC microgrid Y Wang, AO Rousis, G Strbac Ieee Access 8, 139756-139770, 2020 | 15 | 2020 |
| 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 | 10 | 2023 |
| A stochastic distributed control approach for load restoration of networked microgrids with mobile energy storage systems Y Wang, AO Rousis, D Qiu, G Strbac International Journal of Electrical Power & Energy Systems 148, 108999, 2023 | 8 | 2023 |
| Graph learning-based voltage regulation in distribution networks with multi-microgrids Y Wang, D Qiu, Y Wang, M Sun, G Strbac IEEE Transactions on Power Systems, 2023 | 7 | 2023 |
| Personalized retail pricing design for smart metering consumers in electricity market D Qiu, Y Wang*, J Wang, C Jiang, G Strbac Applied Energy 348, 121545, 2023 | 5 | 2023 |
| Resilience-Oriented Coordination of Networked Microgrids: a Shapley Q-Value Learning Approach D Qiu, Y Wang*, J Wang, N Zhang, G Strbac, C Kang IEEE Transactions on Power Systems, 2023 | 5 | 2023 |
| Multi-agent reinforcement learning for electric vehicles joint routing and scheduling strategies Y Wang, D Qiu, G Strbac 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 5 | 2022 |
| Modelling the impact of cyber-attacks on web based sales E Gelenbe, Y Wang Submitted for Publication, 2019 | 5 | 2019 |
| Multi-agent reinforcement learning for electric vehicle decarbonized routing and scheduling Y Wang, D Qiu, Y He, Q Zhou, G Strbac Energy 284, 129335, 2023 | 2 | 2023 |
Goran StrbacProfessor of Energy Systems, Imperial College LondonVerified email at imperial.ac.uk
