Yujian Ye

According to our database, Yujian Ye authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multiagent Deep Reinforcement Learning for Electric Vehicle Fast Charging Station Pricing Game in Electricity-Transportation Nexus.

Xiaoying Yang, Tianxiang Cui, Hongru Wang, Yujian Ye

IEEE Trans. Ind. Informatics, April, 2024

2023

Safe Deep Reinforcement Learning for Microgrid Energy Management in Distribution Networks With Leveraged Spatial-Temporal Perception.

Yujian Ye, Hongru Wang, Peiling Chen, Yi Tang, Goran Strbac

IEEE Trans. Smart Grid, September, 2023

Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market.

Federica Bellizio, Wangkun Xu, Dawei Qiu, Yujian Ye, Dimitrios Papadaskalopoulos, Jochen L. Cremer, Fei Teng, Goran Strbac

Proc. IEEE, July, 2023

Multi-Agent Deep Reinforcement Learning for Coordinated Energy Trading and Flexibility Services Provision in Local Electricity Markets.

Yujian Ye, Dimitrios Papadaskalopoulos, Quan Yuan, Yi Tang, Goran Strbac

IEEE Trans. Smart Grid, March, 2023

dataset for "Towards Risk-Aware Real-Time Security Constrained Economic Dispatch: A Tailored Deep Reinforcement Learning Approach".

Yujian Ye, Jianxiong Hu

Dataset, March, 2023

2022

Supplementary Datasheet Consensus-Based Coordination Flexible Demand Energy Storage.

Jing Li, Yujian Ye, Dimitrios Papadaskalopoulos, Goran Strbac

Dataset, May, 2022

A GAN-Based Data Injection Attack Method on Data-Driven Strategies in Power Systems.

Zengji Liu, Qi Wang, Yujian Ye, Yi Tang

IEEE Trans. Smart Grid, 2022

A Non-Convex and Non-Iterative Approach for Fast Vulnerability Analysis of Smart Grids.

Pengxiang Liu, Zhi Wu, Wei Gu, Yuping Lu, Yujian Ye, Goran Strbac

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

2021

A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading.

Yujian Ye, Yi Tang, Huiyu Wang, Xiao-Ping Zhang, Goran Strbac

IEEE Trans. Smart Grid, 2021

Computationally Efficient Pricing and Benefit Distribution Mechanisms for Incentivizing Stable Peer-to-Peer Energy Trading.

Jing Li, Yujian Ye, Dimitrios Papadaskalopoulos, Goran Strbac

IEEE Internet Things J., 2021

2020

Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning.

Yujian Ye, Dawei Qiu, Xiaodong Wu, Goran Strbac, Jonathan Ward

IEEE Trans. Smart Grid, 2020

Deep Reinforcement Learning for Strategic Bidding in Electricity Markets.

Yujian Ye, Dawei Qiu, Mingyang Sun, Dimitrios Papadaskalopoulos, Goran Strbac

IEEE Trans. Smart Grid, 2020

Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach.

Yujian Ye, Dawei Qiu, Jonathan Ward, Marcin Abram

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Clustering-Based Residential Baseline Estimation: A Probabilistic Perspective.

Mingyang Sun, Yi Wang, Fei Teng, Yujian Ye, Goran Strbac, Chongqing Kang

IEEE Trans. Smart Grid, 2019

Multi-Period and Multi-Spatial Equilibrium Analysis in Imperfect Electricity Markets: A Novel Multi-Agent Deep Reinforcement Learning Approach.

Yujian Ye, Dawei Qiu, Jing Li, Goran Strbac

IEEE Access, 2019

2016

A generalized Dirac soliton hierarchy and its bi-Hamiltonian structure.

Yujian Ye, Zhihui Li, Chunxia Li, Shoufeng Shen, Wen-Xiu Ma

Appl. Math. Lett., 2016

2014

Lie symmetry analysis of the time fractional KdV-type equation.

Juan Hu, Yujian Ye, Shoufeng Shen, Jun Zhang

Appl. Math. Comput., 2014

Pricing flexible demand non-convexities in electricity markets.

Yujian Ye, Dimitrios Papadaskalopoulos, Goran Strbac

Proceedings of the 2014 Power Systems Computation Conference, 2014