Boosting Grid Efficiency and Resiliency by Releasing V2G Potentiality Through a Novel Rolling Prediction-Decision Framework and Deep-LSTM Algorithm.
Shuangqi LiChenghong GuJianwei LiHanxiao WangQingqing YangPublished in: IEEE Syst. J. (2021)
Keyphrases
- computational complexity
- learning algorithm
- detection algorithm
- computational efficiency
- probabilistic model
- np hard
- objective function
- optimization algorithm
- k means
- dynamic programming
- recognition algorithm
- high efficiency
- particle swarm optimization
- high accuracy
- ensemble classifier
- prediction algorithm
- optimal solution
- boosting framework
- decision making
- mathematical model
- worst case
- sequence prediction
- prediction accuracy
- clustering method
- segmentation algorithm
- computational cost
- cost function
- significant improvement
- search space
- similarity measure
- feature selection