| Applying reinforcement learning and tree search to the unit commitment problem P de Mars, A O’Sullivan Applied Energy 302, 117519, 2021 | 39 | 2021 |
| Reinforcement learning for electricity network operation A Kelly, A O'Sullivan, P de Mars, A Marot arXiv preprint arXiv:2003.07339, 2020 | 39 | 2020 |
| Estimating the impact of variable renewable energy on base-load cycling in the GB power system P de Mars, A O’Sullivan, I Keppo Energy 195, 117041, 2020 | 20 | 2020 |
| Reinforcement learning and A* search for the unit commitment problem P de Mars, A O’Sullivan Energy and AI 9, 100179, 2022 | 17 | 2022 |
| Reinforcement learning and mixed-integer programming for power plant scheduling in low carbon systems: Comparison and hybridisation C O’Malley, P de Mars, L Badesa, G Strbac Applied Energy 349, 121659, 2023 | 6 | 2023 |
| Reinforcement learning and tree search methods for the unit commitment problem P De Mars arXiv preprint arXiv:2212.06001, 2022 | | 2022 |
| Guided A* Search for Scheduling Power Generation Under Uncertainty P de Mars, A O’Sullivan Tackling Climate Change with Machine Learning: Workshop at ICML 2021, 2021 | | 2021 |
Aidan O'SullivanAssociate Professor UCL在 ucl.ac.uk 的电子邮件经过验证
