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Title	Optimizing Energy Supply For Full Electric Vehicles In Smart Cities: A Comprehensive Mobility Network Model
ID_Doc	40803
Authors	Fernandez V.; Pérez V.; Roig R.
Year	2025
Published	World Electric Vehicle Journal, 16, 1
DOI	http://dx.doi.org/10.3390/wevj16010005
Abstract	The integration of Full Electric Vehicles (FEVs) into the smart city ecosystem is an essential step towards achieving sustainable urban mobility. This study presents a comprehensive mobility network model designed to predict and optimize the energy supply for FEVs within smart cities. The model integrates advanced components such as a Charge Station Control Center (CSCC), smart charging infrastructure, and a dynamic user interface. Important aspects include analyzing power consumption, forecasting urban energy demand, and monitoring the State of Charge (SoC) of FEV batteries using innovative algorithms validated through real-world applications in Valencia (Spain) and Ljubljana (Slovenia). Results indicate high accuracies in SoC tracking (error < 0.05%) and energy demand forecasting (MSE ~6 × 10−4), demonstrating the model’s reliability and adaptability across diverse urban environments. This research contributes to the development of resilient, efficient, and sustainable smart city frameworks, emphasizing real-time data-driven decision-making in energy and mobility management. © 2024 by the authors.
Author Keywords	energy demand forecasting; smart cities; smart grid; sustainability; urban mobility

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