A Hybrid ARIMA-LSTM Model for Short-Term Vehicle Speed Prediction
Short vehicle speed prediction is important in predictive energy management strategies, and the accuracy of the prediction is beneficial for energy-saving performance. However, the nonlinear feature of the speed series hinders the improvement of prediction accuracy. In this study, a novel hybrid mod...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2024-07-01
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| Colección: | Energies |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/1996-1073/17/15/3736 |
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