Boosting Grid Efficiency and Resiliency by Releasing V2G Potentiality Through a Novel Rolling Prediction-Decision Framework and Deep-LSTM Algorithm

Shuangqi Li, Chenghong Gu, Jianwei Li, Hanxiao Wang, Qingqing Yang. Boosting Grid Efficiency and Resiliency by Releasing V2G Potentiality Through a Novel Rolling Prediction-Decision Framework and Deep-LSTM Algorithm. IEEE Systems Journal, 15(2):2562-2570, 2021. [doi]

@article{LiGLWY21,
  title = {Boosting Grid Efficiency and Resiliency by Releasing V2G Potentiality Through a Novel Rolling Prediction-Decision Framework and Deep-LSTM Algorithm},
  author = {Shuangqi Li and Chenghong Gu and Jianwei Li and Hanxiao Wang and Qingqing Yang},
  year = {2021},
  doi = {10.1109/JSYST.2020.3001630},
  url = {https://doi.org/10.1109/JSYST.2020.3001630},
  researchr = {https://researchr.org/publication/LiGLWY21},
  cites = {0},
  citedby = {0},
  journal = {IEEE Systems Journal},
  volume = {15},
  number = {2},
  pages = {2562-2570},
}