Deep Reinforcement Learning Based Multi-Objective Integrated Automatic Generation Control for Multiple Continuous Power Disturbances. - Jiawen Li 004; Tao Yu 002 (IEEE Access, 2020)

Virtual Generation Alliance Automatic Generation Control Based on Deep Reinforcement Learning. - Jiawen Li 004; Tao Yu 002 (IEEE Access, 2020)

Multi-Agent Deep Reinforcement Learning for Sectional AGC Dispatch. - Jiawen Li 004; Tao Yu 002; Hanxin Zhu; Fusheng Li; Dan Lin 006; Zhuohuan Li (IEEE Access, 2020)

Intelligent Controller Based on Distributed Deep Reinforcement Learning for PEMFC Air Supply System. - Jiawen Li 004; Tao Yu 002 (IEEE Access, 2021)

Adaptive Controller of PEMFC Output Voltage Based on Ambient Intelligence Large-Scale Deep Reinforcement Learning. - Jiawen Li 004; Tao Yu 002; Bo Yang 046 (IEEE Access, 2021)

Emergency fault affected wide-area automatic generation control via large-scale deep reinforcement learning. - Jiawen Li 004; Tao Yu 002; Xiaoshun Zhang (Eng. Appl. Artif. Intell., 2021)

Sensors Integrated Control of PEMFC Gas Supply System Based on Large-Scale Deep Reinforcement Learning. - Jiawen Li 004; Tao Yu 002 (Sensors, 2021)

Optimal trajectory exploration large-scale deep reinforcement learning tuned optimal controller for proton exchange membrane fuel cell. - Jiawen Li 004; Haoyang Cui (J. Frankl. Inst., 2022)

Distributed deep reinforcement learning-based gas supply system coordination management method for solid oxide fuel cell. - Jiawen Li 004; Haoyang Cui; Wei Jiang (Eng. Appl. Artif. Intell., 2023)

Evolutionary Multi-Agent Deep Meta Reinforcement Learning Method for Swarm Intelligence Energy Management of Isolated Multi-Area Microgrid With Internet of Things. - Jiawen Li 004; Tao Zhou (IEEE Internet Things J., 2023)

Bio-inspired distributed load frequency control in Islanded Microgrids: A multi-agent deep reinforcement learning approach. - Jiawen Li 004; Tao Zhou (Appl. Soft Comput., 2024)

Deep Meta-Reinforcement Learning-Based Data-Driven Active Fault Tolerance Load Frequency Control for Islanded Microgrids Considering Internet of Things. - Jiawen Li 004; Yuanyuan Cheng (IEEE Internet Things J., 2024)

Prior Knowledge Incorporated Large-Scale Multiagent Deep Reinforcement Learning for Load Frequency Control of Isolated Microgrid Considering Multi-Structure Coordination. - Jiawen Li 004; Tao Zhou (IEEE Trans. Ind. Informatics, 2024)

Brain-Inspired Deep Meta-Reinforcement Learning for Active Coordinated Fault-Tolerant Load Frequency Control of Multi-Area Grids. - Jiawen Li 004; Tao Zhou; Haoyang Cui (IEEE Trans Autom. Sci. Eng., 2024)

Data-Driven Fully Distributed Load Frequency Control for an IoT-Based Interconnected Grid Considering a Performance-Based Frequency Regulation Market. - Jiawen Li 004; Tao Zhou (IEEE Internet Things J., 2024)

Transfer Multi-Agent Deep Meta Reinforcement Learning Method for Load Frequency Control of Performance Market-Based Multi-Area Microgrid With Prosumers. - Jiawen Li 004; Jichao Dai (IEEE Trans Autom. Sci. Eng., 2025)

YOLO-PAS: Detection of Mixed Impurity Particles in Transformer Oil Based on Lens-Free Holographic Imaging and Improved YOLO. - Liang Xue; Bingying Li; Xinyi Sun; Cheng Yang 003; Jiawen Li 004; Chao Jiang; Haoyang Cui (IEEE Trans. Instrum. Meas., 2025)

A Robust Large-Scale Multiagent Deep Reinforcement Learning Method for Coordinated Automatic Generation Control of Integrated Energy Systems in a Performance-Based Frequency Regulation Market. - Jiawen Li 004; Tao Zhou (IEEE CAA J. Autom. Sinica, 2025)