Classifying electrical demand profiles at EV charging hubs : insights from arrival and departure data

Tools

Hunter, Lewis and McGarry, Connor and Bayram, I. Safak and Galloway, Stuart (2026) Classifying electrical demand profiles at EV charging hubs : insights from arrival and departure data. IET Conference Proceedings, 2025 (36). pp. 49-54. ISSN 2732-4494 (https://doi.org/10.1049/icp.2025.4139)

[thumbnail of Hunter-etal-IETCP-2025-Classifying-electrical-demand-profiles-at-EV-charging-hubs]
Preview
 Text. Filename: Hunter-etal-IETCP-2025-Classifying-electrical-demand-profiles-at-EV-charging-hubs.pdf
Accepted Author Manuscript
License: Creative Commons Attribution 4.0 logo
Download (1MB)| Preview

Abstract

The decarbonisation of passenger cars through the adoption of battery electric vehicles (EVs) necessitates a detailed understanding of the temporal electrical demand patterns associated with charging behaviour. Such insights are critical for ensuring the compatibility of electric power distribution networks with current and future EV adoption rates. This study employs data analytics and probabilistic techniques to analyse arrival and departure data at existing EV charging hubs. The paper introduces a framework to evaluate the performance of charging hubs, providing valuable insights into peak demand, user behaviour patterns, and site-specific variations. The results provide several key contributions to the field of energy management and grid optimisation offering practical tools for planning future EV infrastructure.

ORCID iDs

Hunter, Lewis ORCID logoORCID: https://orcid.org/0000-0001-5482-3609, McGarry, Connor ORCID logoORCID: https://orcid.org/0000-0002-7986-835X, Bayram, I. Safak ORCID logoORCID: https://orcid.org/0000-0001-8130-5583 and Galloway, Stuart ORCID logoORCID: https://orcid.org/0000-0003-1978-993X;
CORE (COnnecting REpositories)