ChargeDEM : geodemographic aware EV charging infrastructure placement for enhanced site selection using graph neural networks
Batic, Djordje and Stankovic, Vladimir and Stankovic, Lina; (2024) ChargeDEM : geodemographic aware EV charging infrastructure placement for enhanced site selection using graph neural networks. In: 12th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL’24). UNSPECIFIED, JPN. (In Press)
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Abstract
Electric vehicles (EVs) have become a key factor in the shift towards sustainable transportation. Yet, the rapid growth in EV adoption has outpaced the development of adequate EV charging infrastructure, leading to a critical adoption bottleneck. While recent studies have increasingly focused on optimizing charging station placement through mathematical modelling and decision-making strategies, they often overlook the intricate spatial dynamics among charging demand nodes. Moreover, the impact of new charging stations on the utilization of existing charging infrastructure is rarely accounted for in the site selection process. Additionally, socio-demographic factors are frequently neglected, potentially marginalizing underserved communities. To address these critical gaps, we propose a novel, geodemographic aware approach for EV charging site selection. This method leverages graph neural networks (GNNs) to identify optimal locations for charging stations while maximizing the efficiency of the installed charging infrastructure. We apply our approach to a case study of the Glasgow City area, Scotland, UK, demonstrating the potential to effectively guide infrastructure planning. The methodology not only significantly reduces installation costs but also boosts the utilization of urban charging facilities. By considering socio-demographic, spatial, and post-installation factors, this approach offers a holistic solution for the fair and efficient growth of EV charging infrastructure.
ORCID iDs
Batic, Djordje ORCID: https://orcid.org/0000-0002-7647-6641, Stankovic, Vladimir ORCID: https://orcid.org/0000-0002-1075-2420 and Stankovic, Lina ORCID: https://orcid.org/0000-0002-8112-1976;-
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Item type: Book Section ID code: 91349 Dates: DateEvent25 June 2024Published25 June 2024AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering > Electrical apparatus and materials > Electric networks Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 03 Dec 2024 14:50 Last modified: 03 Dec 2024 14:50 URI: https://strathprints.strath.ac.uk/id/eprint/91349