Multivariate Deep Learning Approach for Electric Vehicle Speed Forecasting

Multivariate Deep Learning Approach for Electric Vehicle Speed Forecasting

Speed forecasting has numerous applications in intelligent transport systems’ design and control, especially for safety and road efficiency applications. In the field of electromobility, it represents the most dynamic parameter for efficient online in-vehicle energy management. However, vehicles’ sp...

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Bibliographic Details
Main Authors: Youssef Nait Malek, Mehdi Najib, Mohamed Bakhouya, Mohammed Essaaidi
Format: Article
Language:English
Published: Tsinghua University Press 2021-03-01
Series:Big Data Mining and Analytics
Subjects:
electric vehicle (ev)
multivariate long short-term memory (lstm)
speed forecasting
deep learning
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2020.9020027

Internet

https://www.sciopen.com/article/10.26599/BDMA.2020.9020027

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