LSTM-based forecasting on electric vehicles battery swapping demand: Addressing infrastructure challenge in Indonesia

LSTM-based forecasting on electric vehicles battery swapping demand: Addressing infrastructure challenge in Indonesia

This article aims to design a model for forecasting the number of vehicles arriving at the battery swap station (BSS). In our case, we study the relevance of the proposed approach given the rapid increase in electric vehicle users in Indonesia. Due to the vehicle electrification program from the gov...

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Bibliografiska uppgifter
Huvudupphovsmän: Muhammad Zakiyullah Romdlony, Rashad Abul Khayr, Aam Muharam, Eka Rakhman Priandana, Sudarmono Sasmono, Muhammad Ridho Rosa, Irwan Purnama, Amin Amin, Ridlho Khoirul Fachri
Materialtyp: Artikel
Språk:English
Publicerad: Indonesian Institute of Sciences 2023-07-01
Serie:Journal of Mechatronics, Electrical Power, and Vehicular Technology
Ämnen:
battery swap station (bss)
demand forecasting
long short-term memory (lstm).
Länkar:https://mev.lipi.go.id/mev/article/view/737

Internet

https://mev.lipi.go.id/mev/article/view/737

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