The University of Southampton
University of Southampton Institutional Repository

Electric bus charging schedules relying on real data-driven targets based on hierarchical deep reinforcement learning

Electric bus charging schedules relying on real data-driven targets based on hierarchical deep reinforcement learning
Electric bus charging schedules relying on real data-driven targets based on hierarchical deep reinforcement learning
2169-3536
Qi, Jiaju
e1f69e91-2e41-40dc-be85-a1f1c0363e41
Lei, Lei
ae6f803e-9faa-4aa8-9625-75aea802772c
Jonsson, Thorsteinn
fedb38e1-64e2-47fa-8c4b-147c0e8e63f2
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Qi, Jiaju
e1f69e91-2e41-40dc-be85-a1f1c0363e41
Lei, Lei
ae6f803e-9faa-4aa8-9625-75aea802772c
Jonsson, Thorsteinn
fedb38e1-64e2-47fa-8c4b-147c0e8e63f2
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Qi, Jiaju, Lei, Lei, Jonsson, Thorsteinn and Hanzo, Lajos (2025) Electric bus charging schedules relying on real data-driven targets based on hierarchical deep reinforcement learning. IEEE Access. (In Press)

Record type: Article
Text
FINAL Article - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (2MB)

More information

Accepted/In Press date: 9 May 2025

Identifiers

Local EPrints ID: 502330
URI: http://eprints.soton.ac.uk/id/eprint/502330
ISSN: 2169-3536
PURE UUID: 016dc96d-a6d2-4483-9fcf-2039a5be2af9
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 23 Jun 2025 16:35
Last modified: 24 Jun 2025 01:33

Export record

Contributors

Author: Jiaju Qi
Author: Lei Lei
Author: Thorsteinn Jonsson
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×