Articles with public access mandates - Yujian YeLearn more
Not available anywhere: 24
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
Mandates: European Commission
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: National Natural Science Foundation of China
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
Mandates: UK Research & Innovation
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
Mandates: National Natural Science Foundation of China
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
An Efficient LP-based Approach for Spatial-Temporal Coordination of Electric Vehicles in Electricity-Transportation Nexus
H Wang, Y Ye, W Qi, T Yi, G Strbac
IEEE Transactions on Power Systems 38 (3), 2914 - 2925, 2023
Mandates: National Natural Science Foundation of China
Distributed Consensus-Based Coordination of Flexible Demand and Energy Storage Resources
J Li, Y Ye, D Papadaskalopoulos, G Strbac
IEEE Transactions on Power Systems 36 (4), 3053 - 3069, 2020
Mandates: UK Engineering and Physical Sciences Research Council
Unified modelling of gas and thermal inertia for integrated energy system and its application to multitype reserve procurement
W Sun, Q Wang, Y Ye, Y Tang
Applied Energy 305, 117963, 2022
Mandates: National Natural Science Foundation of China
Transition to digitalized paradigms for security control and decentralized electricity market
F Bellizio, W Xu, D Qiu, Y Ye, D Papadaskalopoulos, JL Cremer, F Teng, ...
Proceedings of the IEEE 111 (7), 744-761, 2022
Mandates: UK Engineering and Physical Sciences Research Council
Cause analysis and policy options for the surplus hydropower in southwest China based on quantification
Y Ye, W Huang, G Ma, J Wang, Y Liu, Y Hu
Journal of Renewable and Sustainable Energy 10 (1), 2018
Mandates: National Natural Science Foundation of China
Online Preventive Control for Transmission Overload Relief Using Safe Reinforcement Learning with Enhanced Spatial-Temporal Awareness
H Cui, Y Ye, J Hu, T Yi, Z Lin, G Strbac
IEEE Transactions on Power Systems, 2022
Mandates: National Natural Science Foundation of China
Toward Online Power System Model Identification: A Deep Reinforcement Learning Approach
J Hu, Q Wang, Y Ye, T Yi
IEEE Transactions on Power Systems 38 (3), 2580 - 2593, 2022
Mandates: National Natural Science Foundation of China
A Combinational Transfer Learning Framework for Online Transient Stability Prediction
H Cui, Q Wang, Y Ye, T Yi
Sustainable Energy, Grids and Networks, 2022
Mandates: National Natural Science Foundation of China
A two-stage deep transfer learning for localisation of forced oscillations disturbance source
S Feng, J Chen, Y Ye, X Wu, H Cui, Y Tang, J Lei
International Journal of Electrical Power & Energy Systems 135, 107577, 2022
Mandates: National Natural Science Foundation of China
Towards Risk-Aware Real-Time Security Constrained Economic Dispatch: A Tailored Deep Reinforcement Learning Approach
J Hu, Y Ye, Y Tang, G Strbac
IEEE Transactions on Power Systems 39 (2), 3972 - 3986, 2023
Mandates: National Natural Science Foundation of China
Publication and funding information is determined automatically by a computer program