2023
DOI: 10.1109/tits.2023.3286952
|View full text |Cite
|
Sign up to set email alerts
|

Joint Routing and Charging Problem of Electric Vehicles With Incentive-Aware Customers Considering Spatio-Temporal Charging Prices

Abstract: published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(1 citation statement)
references
References 50 publications
0
1
0
Order By: Relevance
“…The strategies introduced in [67] and [68] explore optimal pricing and routing mechanisms in public charging stations, focusing on efficient demand management and minimizing construction and travel costs. While, other studies like [69], [70], and [71] develop strategies for reducing operational and customer costs, enhancing renewable energy integration, and improving charging utility and network stability, employing methods like bi-level graph reinforcement learning and pricing-based navigation schemes.…”
Section: • Strategies For Cost Reduction and Network Stabilitymentioning
confidence: 99%
“…The strategies introduced in [67] and [68] explore optimal pricing and routing mechanisms in public charging stations, focusing on efficient demand management and minimizing construction and travel costs. While, other studies like [69], [70], and [71] develop strategies for reducing operational and customer costs, enhancing renewable energy integration, and improving charging utility and network stability, employing methods like bi-level graph reinforcement learning and pricing-based navigation schemes.…”
Section: • Strategies For Cost Reduction and Network Stabilitymentioning
confidence: 99%