Dynamic Machine Learning-Based Simulation for Preemptive Supply-Demand Balancing Amid EV Charging Growth in the Jamali Grid 2025–2060

The rapid uptake of electric vehicles (EVs) in the Jawa–Madura–Bali (Jamali) grid produces highly variable charging demands that threaten the supply–demand balance. To forestall instability, we developed a predictive simulation based on long short-term memory (LSTM) networks that combines historical...

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Bibliographic Details

Published in:	World Electric Vehicle Journal
Main Authors:	Joshua Veli Tampubolon, Rinaldy Dalimi, Budi Sudiarto
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Subjects:	machine learning EV charging demand supply demand balance grid simulation Jamali power grid initial charging time
Online Access:	https://www.mdpi.com/2032-6653/16/7/408