Chen, C.; Lei, G.; Li, H.; Chen, Z.; Zhou, J.
A Hybrid Variational Mode Decomposition, Transformer-For Time Series, and Long Short-Term Memory Framework for Long-Term Battery Capacity Degradation Prediction of Electric Vehicles Using Real-World Charging Data. Energies 2026, 19, 694.
https://doi.org/10.3390/en19030694
AMA Style
Chen C, Lei G, Li H, Chen Z, Zhou J.
A Hybrid Variational Mode Decomposition, Transformer-For Time Series, and Long Short-Term Memory Framework for Long-Term Battery Capacity Degradation Prediction of Electric Vehicles Using Real-World Charging Data. Energies. 2026; 19(3):694.
https://doi.org/10.3390/en19030694
Chicago/Turabian Style
Chen, Chao, Guangzhou Lei, Hao Li, Zhuo Chen, and Jing Zhou.
2026. "A Hybrid Variational Mode Decomposition, Transformer-For Time Series, and Long Short-Term Memory Framework for Long-Term Battery Capacity Degradation Prediction of Electric Vehicles Using Real-World Charging Data" Energies 19, no. 3: 694.
https://doi.org/10.3390/en19030694
APA Style
Chen, C., Lei, G., Li, H., Chen, Z., & Zhou, J.
(2026). A Hybrid Variational Mode Decomposition, Transformer-For Time Series, and Long Short-Term Memory Framework for Long-Term Battery Capacity Degradation Prediction of Electric Vehicles Using Real-World Charging Data. Energies, 19(3), 694.
https://doi.org/10.3390/en19030694