Remaining Useful Life Prediction of Lithium-Ion Batteries Based on a Mixture of Ensemble Empirical Mode Decomposition and GWO-SVR Model.
Zhanshe YangYunhao WangChenzai KongPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- stock market prediction
- empirical mode decomposition
- non stationary
- prediction accuracy
- electric vehicles
- signal analysis
- ensemble methods
- neural network
- hilbert huang transform
- computational complexity
- multi band
- random forests
- intrinsic mode functions
- eeg signals
- image denoising
- frequency domain
- image processing
- feature selection