| 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, 2020 | 232 | 2020 |
| 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 | 167 | 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 | 119 | 2021 |
| A Scalable Privacy-Preserving Multi-agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading Y Ye, T Yi, W Huiyu, Z Xiao-Ping, G Strbac IEEE Transactions on Smart Grid 12 (6), 5185-5200, 2021 | 102 | 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 | 92 | 2020 |
| Clustering-based residential baseline estimation: A probabilistic perspective M Sun, Y Wang, F Teng, Y Ye, G Strbac, C Kang IEEE Transactions on Smart Grid 10 (6), 6014-6028, 2019 | 92 | 2019 |
| 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 | 72 | 2019 |
| Investigating the ability of demand shifting to mitigate electricity producers’ market power Y Ye, D Papadaskalopoulos, G Strbac IEEE Transactions on Power Systems 33 (4), 3800-3811, 2017 | 67 | 2017 |
| Computationally Efficient Pricing and Benefit Distribution Mechanisms for Incentivizing Stable Peer-to-Peer Energy Trading J Li, Y Ye, D Papadaskalopoulos, G Strbac IEEE Internet of Things Journal 8 (2), 734-749, 2020 | 65 | 2020 |
| Cost-Effective Decarbonization in a Decentralized Market: The Benefits of Using Flexible Technologies and Resources G Strbac, D Pudjianto, M Aunedi, D Papadaskalopoulos, P Djapic, Y Ye, ... IEEE Power and Energy Magazine 17 (2), 25-36, 2019 | 55 | 2019 |
| 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 | 45 | 2021 |
| Incorporating Non-Convex Operating Characteristics into Bi-Level Optimization Electricity Market Models Y Ye, D Papadaskalopoulos, J Kazempour, G Strbac IEEE Transactions on Power Systems 35 (1), 163-176, 2019 | 42 | 2019 |
| Multi-Agent Deep Reinforcement Learning for Coordinated Energy Trading and Flexibility Services Provision in Local Electricity Markets Y Ye, D Papadaskalopoulos, Q Yuan, T Yi, G Strbac IEEE Transactions on Smart Grid 14 (2), 1541 - 1554, 2023 | 37 | 2023 |
| Factoring flexible demand non-convexities in electricity markets Y Ye, D Papadaskalopoulos, G Strbac IEEE Transactions on Power Systems 30 (4), 2090-2099, 2014 | 29 | 2014 |
| An MPEC approach for analysing the impact of energy storage in imperfect electricity markets Y Ye, D Papadaskalopoulos, G Strbac 2016 13th International Conference on the European Energy Market (EEM), 1-5, 2016 | 28 | 2016 |
| Exploring the Effects of Local Energy Markets on Electricity Retailers and Customers D Qiu, Y Ye, D Papadaskalopoulos Electric Power Systems Research 189, 106761, 2020 | 27 | 2020 |
| A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with residential houses Y Zhang, W Qian, Y Ye, Y Li, Y Tang, Y Long, M Duan Applied Energy 349, 121703, 2023 | 25 | 2023 |
| A Novel Deep-learning Based Surrogate Modeling of Stochastic Electric Vehicle Traffic User Equilibrium in Low-Carbon Electricity-Transportation Nexus Q Yuan, Y Ye, Y Tang, Y Liu, G Strbac Applied Energy, 2022 | 23 | 2022 |
| Low carbon electric vehicle charging coordination in coupled transportation and power networks Q Yuan, Y Ye, Y Tang, X Liu, Q Tian IEEE Transactions on Industry Applications 59 (2), 2162-2172, 2022 | 21 | 2022 |
| Safe Deep Reinforcement Learning for Microgrid Energy Management in Distribution Networks with Leveraged Spatial-Temporal Perception Y Ye, H Wang, P Chen, Y Tang, G Strbac IEEE Transactions on Smart Grid 14 (5), 3759-3775, 2023 | 20 | 2023 |
Goran StrbacProfessor of Energy Systems, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
