Electric Vehicles Arrival and Departure Time Prediction Based on Deep Learning: The Case of Morocco

Author:

Boulakhbar Mouaad1ORCID,Farag Markos2,Benabdelaziz Kawtar3,Zazi Malika1,Maaroufi Mohamed3,Kousksou Tarik4

Affiliation:

1. Université Mohammed V, École Nationale Supérieure d'Arts et Métiers,Rabat,Morocco

2. University of Cologne,Faculty of Management, Economics and Social Sciences,Cologne,Germany

3. Mohammed V University, Mohammadia School of Engineers,Department of Electrical Engineering,Rabat,Morocco

4. Université de Pau et des Pays de L'Adour, E2S UPPA, SIAME,Pau,France

Publisher

IEEE

Reference33 articles.

1. Tensorflow: A system for large-scale machine learning;abadi;Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI'16),2016

2. Gate-variants of Gated Recurrent Unit (GRU) neural networks

3. Designing neural network based decoders for surface codes;varsamopoulos;ArXiv Preprint,2018

4. The opportunity for smart charging to mitigate the impact of electric vehicles on transmission and distribution systems

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