Tingjun Zhang

Energy Optimization Management of Multi-microgrid using Deep Reinforcement Learning

D. Yue, Tingjun Zhang, Nan Zhao, 2020, 2020 Chinese Automation Congress (CAC).

Coordinated Charging and Discharging of Electric Vehicles for Power Imbalance Mitigation

Tingjun Zhang, Nan Zhao, T. Yan, 2021, 2021 International Conference on Power System Technology (POWERCON).

Event-triggered adaptive consensus tracking control for nonlinear switching multi-agent systems

Dong Yue, Chunxia Dou, Nan Zhao, 2020, Neurocomputing.

Practical fixed-time adaptive consensus control for a class of multi-agent systems with full state constraints and input delay

Chunxia Dou, Nan Zhao, Dajie Yao, 2021, Neurocomputing.

Finite-time consensus control for a class of multi-agent systems with dead-zone input

Chunxia Dou, Nan Zhao, Dajie Yao, 2021, J. Frankl. Inst..

Adaptive neural network consensus tracking control for uncertain multi-agent systems with predefined accuracy

Chunxia Dou, Dong Yue, Nan Zhao, 2020, Nonlinear Dynamics.

Joint Energy and Workload Scheduling for Fog-Assisted Multimicrogrid Systems: A Deep Reinforcement Learning Approach

Xiangpeng Xie, Tingjun Zhang, C. Dou, 2023, IEEE Systems Journal.

Coordinated voltage regulation of high renewable-penetrated distribution networks: An evolutionary curriculum-based deep reinforcement learning approach

Xiangpeng Xie, Tingjun Zhang, C. Dou, 2023, International Journal of Electrical Power & Energy Systems.

Interpretable Deep Reinforcement Learning for Voltage Regulation in Active Distribution Networks with High-penetrated Renewables

Tingjun Zhang, Liang Yu, Dong Yue, 2023, 2023 35th Chinese Control and Decision Conference (CCDC).