Adaptive Deep-Learning-Based Steady-State Modeling and Fast Control Strategy for CLLC DC-DC Converter in Highly Renewable Penetrated System

Kefan Yu, Fang Zhuo, Feng Wang, Tianhua Zhu, Yating Gou. Adaptive Deep-Learning-Based Steady-State Modeling and Fast Control Strategy for CLLC DC-DC Converter in Highly Renewable Penetrated System. IEEE J. Emerg. Sel. Topics Circuits Syst., 12(1):205-219, 2022. [doi]

@article{YuZWZG22,
  title = {Adaptive Deep-Learning-Based Steady-State Modeling and Fast Control Strategy for CLLC DC-DC Converter in Highly Renewable Penetrated System},
  author = {Kefan Yu and Fang Zhuo and Feng Wang and Tianhua Zhu and Yating Gou},
  year = {2022},
  doi = {10.1109/JETCAS.2022.3152063},
  url = {https://doi.org/10.1109/JETCAS.2022.3152063},
  researchr = {https://researchr.org/publication/YuZWZG22},
  cites = {0},
  citedby = {0},
  journal = {IEEE J. Emerg. Sel. Topics Circuits Syst.},
  volume = {12},
  number = {1},
  pages = {205-219},
}