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Yujian Ye
Yujian Ye
Professor at Southeast University and Honorary Lecturer at Imperial College
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
2212020
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
1622020
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
1102021
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
932021
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
902019
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
842020
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
722019
Investigating the ability of demand shifting to mitigate electricity producersí market power
Y Ye, D Papadaskalopoulos, G Strbac
IEEE Transactions on Power Systems 33 (4), 3800-3811, 2017
672017
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
592020
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
542019
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
442021
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
412019
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
352023
Factoring flexible demand non-convexities in electricity markets
Y Ye, D Papadaskalopoulos, G Strbac
IEEE Transactions on Power Systems 30 (4), 2090-2099, 2014
292014
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
282016
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
272020
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
212022
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
202020
Investigating the effects of demand flexibility on electricity retailersí business through a tri-level optimisation model
D Qiu, D Papadaskalopoulos, Y Ye, G Strbac
IET Generation, Transmission & Distribution 14 (9), 1739-1750, 2020
202020
Investigating the impacts of price‐taking and price‐making energy storage in electricity markets through an equilibrium programming model
Y Ye, D Papadaskalopoulos, R Moreira, G Strbac
IET Generation, Transmission & Distribution 13 (2), 305-315, 2019
202019
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