Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning J Li, T Yu, X Zhang Applied energy 306, 117900, 2022 | 110 | 2022 |
Efficient experience replay based deep deterministic policy gradient for AGC dispatch in integrated energy system J Li, T Yu, X Zhang, F Li, D Lin, H Zhu Applied energy 285, 116386, 2021 | 108 | 2021 |
A new adaptive controller based on distributed deep reinforcement learning for PEMFC air supply system J Li, T Yu Energy Reports 7, 1267-1279, 2021 | 61 | 2021 |
A data-driven output voltage control of solid oxide fuel cell using multi-agent deep reinforcement learning J Li, T Yu, B Yang Applied Energy 304, 117541, 2021 | 56 | 2021 |
A novel data-driven controller for solid oxide fuel cell via deep reinforcement learning J Li, T Yu Journal of Cleaner Production 321, 128929, 2021 | 39 | 2021 |
Coordinated automatic generation control of interconnected power system with imitation guided exploration multi-agent deep reinforcement learning J Li, T Yu, X Zhang International Journal of Electrical Power & Energy Systems 136, 107471, 2022 | 28 | 2022 |
Emergency fault affected wide-area automatic generation control via large-scale deep reinforcement learning J Li, T Yu, X Zhang Engineering Applications of Artificial Intelligence 106, 104500, 2021 | 26 | 2021 |
Adaptive rapid neural optimization: A data-driven approach to MPPT for centralized TEG systems F Li, D Lin, T Yu, J Li, K Wang, X Zhang, B Yang, Y Wu Electric Power Systems Research 199, 107426, 2021 | 24 | 2021 |
Coordinated control of gas supply system in PEMFC based on multi-agent deep reinforcement learning J Li, T Yu, B Yang International Journal of Hydrogen Energy 46 (68), 33899-33914, 2021 | 21 | 2021 |
Deep reinforcement learning based multi-objective integrated automatic generation control for multiple continuous power disturbances J Li, T Yu IEEE Access 8, 156839-156850, 2020 | 21 | 2020 |
Distributed deep reinforcement learning-based multi-objective integrated heat management method for water-cooling proton exchange membrane fuel cell J Li, Y Li, T Yu Case Studies in Thermal Engineering 27, 101284, 2021 | 19 | 2021 |
Intelligent controller based on distributed deep reinforcement learning for PEMFC air supply system J Li, T Yu Ieee Access 9, 7496-7507, 2021 | 18 | 2021 |
Optimal dual-model controller of solid oxide fuel cell output voltage using imitation distributed deep reinforcement learning J Li, H Cui, W Jiang, H Yu International Journal of Hydrogen Energy 48 (37), 14053-14067, 2023 | 17 | 2023 |
Multi-agent deep reinforcement learning for sectional AGC dispatch J Li, T Yu, H Zhu, F Li, D Lin, Z Li IEEE Access 8, 158067-158081, 2020 | 17 | 2020 |
Brain-inspired deep meta-reinforcement learning for active coordinated fault-tolerant load frequency control of multi-area grids J Li, T Zhou, H Cui IEEE Transactions on Automation Science and Engineering, 2023 | 16 | 2023 |
Evolutionary multi agent deep meta reinforcement learning method for swarm intelligence energy management of isolated multi area microgrid with internet of things J Li, T Zhou IEEE Internet of Things Journal, 2023 | 13 | 2023 |
Distributed deep reinforcement learning-based coordination performance optimization method for proton exchange membrane fuel cell system J Li, B Yang, T Yu Sustainable Energy Technologies and Assessments 50, 101814, 2022 | 13 | 2022 |
Adaptive controller of PEMFC output voltage based on ambient intelligence large-scale deep reinforcement learning J Li, T Yu, B Yang IEEE Access 9, 6063-6075, 2021 | 13 | 2021 |
Distributed deep reinforcement learning-based gas supply system coordination management method for solid oxide fuel cell J Li, H Cui, W Jiang Engineering Applications of Artificial Intelligence 120, 105818, 2023 | 12 | 2023 |
Distributed deep reinforcement learning for integrated generation‐control and power‐dispatch of interconnected power grid with various renewable units J Li, J Yao, T Yu, X Zhang IET Renewable Power Generation 16 (7), 1316-1335, 2022 | 12 | 2022 |