Pricing flexible demand non-convexities in electricity markets. - Yujian Ye; Dimitrios Papadaskalopoulos; Goran Strbac (PSCC, 2014)

Lie symmetry analysis of the time fractional KdV-type equation. - Juan Hu; Yujian Ye; Shoufeng Shen; Jun Zhang (Appl. Math. Comput., 2014)

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)

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 056; Goran Strbac (IEEE Access, 2019)

Clustering-Based Residential Baseline Estimation: A Probabilistic Perspective. - Mingyang Sun; Yi Wang 022; Fei Teng 005; Yujian Ye; Goran Strbac; Chongqing Kang (IEEE Trans. Smart Grid, 2019)

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 (IJCAI, 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 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)

Computationally Efficient Pricing and Benefit Distribution Mechanisms for Incentivizing Stable Peer-to-Peer Energy Trading. - Jing Li 056; Yujian Ye; Dimitrios Papadaskalopoulos; Goran Strbac (IEEE Internet Things J., 2021)

A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading. - Yujian Ye; Yi Tang 009; Huiyu Wang; Xiao-Ping Zhang 001; Goran Strbac (IEEE Trans. Smart Grid, 2021)

A Non-Convex and Non-Iterative Approach for Fast Vulnerability Analysis of Smart Grids. - Pengxiang Liu; Zhi Wu; Wei Gu 004; Yuping Lu; Yujian Ye; Goran Strbac (ISGT-Europe, 2022)

A GAN-Based Data Injection Attack Method on Data-Driven Strategies in Power Systems. - Zengji Liu; Qi Wang 035; Yujian Ye; Yi Tang 009 (IEEE Trans. Smart Grid, 2022)

Supplementary Datasheet Consensus-Based Coordination Flexible Demand Energy Storage. - Jing Li 056; Yujian Ye; Dimitrios Papadaskalopoulos; Goran Strbac (IEEE DataPort, 2022)

dataset for "Towards Risk-Aware Real-Time Security Constrained Economic Dispatch: A Tailored Deep Reinforcement Learning Approach". - Yujian Ye; Jianxiong Hu (IEEE DataPort, 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 009; Goran Strbac (IEEE Trans. Smart Grid, 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 005; Goran Strbac (Proc. IEEE, 2023)

Safe Deep Reinforcement Learning for Microgrid Energy Management in Distribution Networks With Leveraged Spatial-Temporal Perception. - Yujian Ye; Hongru Wang 008; Peiling Chen; Yi Tang 009; Goran Strbac (IEEE Trans. Smart Grid, 2023)

Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation. - Xiaoying Yang; Yujing Gu; Fuhua Jia; Yiran Li 003; Hongru Wang 008; Nanjiang Du; Tianxiang Cui; Yujian Ye; Ruibin Bai (CEC, 2024)

Experimental Evaluation of ISAC in Distributed and Centralized Multiuser-MIMO Systems. - Tongyang Xu; Yujian Ye; Yi Tang 009 (CSCN, 2024)

Enhancing Spectral Efficiency with Over-the-Air Multiuser-MIMO Enabled NOFS Signals. - Tongyang Xu; Yujian Ye; Yi Tang 009 (CSNDSP, 2024)

Signal Waveform Design for Resilient Integrated Sensing and Communications. - Tongyang Xu; Yujian Ye; Christos Masouros (CSNDSP, 2024)

Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing. - Shuyang Zhu; Ziqing Zhu; Linghua Zhu; Yujian Ye; Siqi Bu; Sasa Z. Djokic (CoRR, 2024)

Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach. - Tianxiang Cui; Xiaoying Yang; Fuhua Jia; Jiahuan Jin; Yujian Ye; Ruibin Bai (Expert Syst. Appl., 2024)

Multiagent Deep Reinforcement Learning for Electric Vehicle Fast Charging Station Pricing Game in Electricity-Transportation Nexus. - Xiaoying Yang; Tianxiang Cui; Hongru Wang 008; Yujian Ye (IEEE Trans. Ind. Informatics, 2024)

Fast Resilience Assessment of Integrated Electricity-Gas Systems Considering Non-Convex Gas Flow Dynamics. - Pengxiang Liu; Zhi Wu; Wei Gu 004; Yuping Lu; Qirun Sun; Yujian Ye; Goran Strbac (IEEE Trans. Smart Grid, 2024)

Intelligent fault diagnosis for unbalanced battery data using adversarial domain expansion and enhanced stochastic configuration networks. - Sizhe Liu; Dezhi Xu; Yujian Ye; Tinglong Pan (Inf. Sci., 2025)

Coordinated Operation Optimization of Grid-Interactive Residential Buildings Based on Neural Network-Assisted Hierarchical Model Predictive Control. - Liang Yu 001; Zhiqiang Chen; Dong Yue 001; Yujian Ye; Goran Strbac; Yi Wang 022 (IEEE Trans Autom. Sci. Eng., 2025)

A Semi-Supervised Enhanced Fault Diagnosis Algorithm for Complex Equipment Assisted by Digital Multitwins. - Sizhe Liu; Dezhi Xu; Chao Shen 001; Yujian Ye; Bin Jiang 001 (IEEE Trans. Instrum. Meas., 2025)

Intelligent Fault Diagnosis for Battery Packs Using FCE-GCN: Addressing the Challenges of Class Imbalance and Feature Similarity. - Sizhe Liu; Dezhi Xu; Chao Shen 001; Yujian Ye; Bin Jiang 001 (IEEE Trans. Instrum. Meas., 2025)

Special Section on Integrated Operation, Planning, and Business Paradigm for Coupled Energy, Transportation, and Information Networks. - Wei-Jen Lee; Yujian Ye; Zhaohao Ding; Mahnoosh Alizadeh; Antonio de Paola; Dimitrios Papadaskalopoulos; Yunzhi Cheng; Goran Strbac; Ning Lu 002 (IEEE Trans. Smart Grid, 2025)

Multiagent-Based Model Predictive Control of Parallel PV/BESS Electric Springs in Microgrids. - Dezhi Xu; Zuhang Zhang; Yujian Ye; Bin Jiang 001; Peng Shi 001 (IEEE Trans. Ind. Informatics, 2025)

M2WLLM: Multi-Modal Multi-Task Ultra-Short-term Wind Power Prediction Algorithm Based on Large Language Model. - Hang Fan; Mingxuan Li; Zuhan Zhang; Long Cheng 003; Yujian Ye; Dunnan Liu (CoRR, 2025)

HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management. - Jiadong He; Liang Yu 001; Zhiqiang Chen; Dawei Qiu; Dong Yue 001; Goran Strbac; Meng Zhang 011; Yujian Ye; Yi Wang 022 (CoRR, 2025)

Event-Triggered Model-Free Adaptive Formation Constrained Control for Nonlinear Heterogeneous Multiagent Systems. - Weiming Zhang 002; Dezhi Xu; Yujian Ye; Wei Hua 001; Bin Jiang 001 (IEEE Trans. Cybern., 2025)

Reliability and Comfort-Aware Operation Optimization for Hydrogen-Based Building Energy Systems in Off-Grid Mode. - Zhiqiang Chen; Liang Yu 001; Ming Chen; Dong Yue 001; Tingjun Zhang; Yujian Ye; Goran Strbac; Meng Zhang 011 (IEEE Trans. Smart Grid, 2025)

Carbon-Aware Peer-to-Peer Energy Trading in an Unbalanced Distribution Network via a Nash Equilibrium Discovery Deep Reinforcement Learning Approach. - Xiao Liu; Yujian Ye; Sinan Li; Cuo Zhang; Qianyi Ma; Jianguo Zhu 001 (IEEE Trans. Smart Grid, 2025)

Advancing Privacy-Preserving Wind Generation Forecasts With Selective Spatial-Temporal Dependencies Extraction, Encryption and Sharing. - Yujian Ye; Xijin Guo; Jianxiong Hu; Yizhi Wu; Dezhi Xu; Cao Fan; Goran Strbac (IEEE Trans. Smart Grid, 2025)

Miniature Real-Time Compact Deep Neural Network With Zero-Shot Neural Architecture Search for Lithium-Ion Battery Fault Diagnosis. - Zeyang Chen; Dezhi Xu; Chao Shen 001; Yujian Ye; Bin Jiang 001 (IEEE Trans. Ind. Informatics, 2025)

M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model. - Hang Fan; Mingxuan Li; Zuhan Zhang; Long Cheng 003; Yujian Ye; Weican Liu; Dunnan Liu (Inf. Fusion, 2026)