@inproceedings{f98c086cf00f4940b60266edecca2520,
title = "Optimizing Electric Vehicle Charging Through a Real-Time Control Mechanism",
abstract = "This paper explores an integrated approach combining real-time and predictive control mechanisms to manage electric vehicle charging in alignment with solar energy availability. By utilizing predictive control and a Real-Time Control Mechanism (RCM), the challenges posed by the variability of solar power and the increasing demand for EV charging are addressed. Through simulations and field tests, the proposed strategy demonstrates its ability to reduce peak grid loads, enhance self-sufficiency, and improve self-consumption, while maintaining user satisfaction. The findings indicate that integrating real-time adjustments with predictive EV charging scheduling can significantly contribute to a more stable and efficient grid.",
keywords = "2025 OA procedure, energy management, energy transition, smart charging, electric vehicles",
author = "Jacco Reuling and Bart Nijenhuis and Gerwin Hoogsteen and Hurink, {Johann L.}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024, ISGT EUROPE ; Conference date: 14-10-2024 Through 17-10-2024",
year = "2025",
month = feb,
day = "11",
doi = "10.1109/ISGTEUROPE62998.2024.10863524",
language = "English",
series = "IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024",
publisher = "IEEE",
editor = "Ninoslav Holjevac and Tomislav Baskarad and Matija Zidar and Igor Kuzle",
booktitle = "IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024",
address = "United States",
}