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Predictive modeling of electric vehicle loads through driving behavior analysis

Mishra, Debani PrasadPradhan, RudranarayanSingh, SakshamSingh, AnuragKumar, AyushSalkuti, Surender Reddy
Indonesian Journal of Electrical Engineering and Computer Science (Sinta 1)Vol. 38 No. 1 (2025)1 Juni 2025
DOI10.11591/ijeecs.v38.i3.pp1431-1439

Abstrak

Electric vehicles (EVs) can potentially be integrated into microgrids via vehicle-to-grid (V2G) technology, which enhances the energy system's stability and durability. This paper provides an in-depth examination and evaluation of V2G integration in microgrid systems. It analyses the present state of research as well as possible uses, challenges, and directions for V2G technology in the future. This article addresses the technological, economic, and regulatory aspects of implementing V2G and provides case studies and pilot projects to shed light on potential benefits and barriers associated with its adoption. The research highlights how V2G contributes to more efficient integration of renewable energy sources, grid stabilization, and cost savings for EV owners. It also addresses the latest developments in technology and proposed laws aimed at encouraging growing applications of V2G.

Kata Kunci

Power EngineeringElectric VehiclesRenewable EnergyBatteryDC fast chargingGrid to vehicleRenewable energyVehicle to grid

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Predictive modeling of electric vehicle loads through driving behavior analysis | Indonesian Journal of Electrical Engineering and Computer Science | Publiora