Online Dynamic Pricing for Electric Vehicle Charging Stations With Reservations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00385284" target="_blank" >RIV/68407700:21230/25:00385284 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/TITS.2025.3565906" target="_blank" >https://doi.org/10.1109/TITS.2025.3565906</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TITS.2025.3565906" target="_blank" >10.1109/TITS.2025.3565906</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Online Dynamic Pricing for Electric Vehicle Charging Stations With Reservations

Popis výsledku v původním jazyce

This paper introduces a novel model for online dynamic pricing of electric vehicle charging services that integrates reservation, parking, and charging into a comprehensive bundle priced as a whole. Our approach focuses on the individual high-demand, fast-charging location, employing a Poisson process as a model of charging reservation arrivals, and develops an online dynamic pricing strategy optimized through a Markov Decision Process (MDP). A key contribution is the novel analysis of discretization error introduced when incorporating the continuous-time Poisson process into the discrete MDP framework. The MDP model’s feasibility is demonstrated with a heuristic dynamic pricing method based on Monte-Carlo tree search, offering a viable path for real-world applications.

Název v anglickém jazyce

Online Dynamic Pricing for Electric Vehicle Charging Stations With Reservations

Popis výsledku anglicky

This paper introduces a novel model for online dynamic pricing of electric vehicle charging services that integrates reservation, parking, and charging into a comprehensive bundle priced as a whole. Our approach focuses on the individual high-demand, fast-charging location, employing a Poisson process as a model of charging reservation arrivals, and develops an online dynamic pricing strategy optimized through a Markov Decision Process (MDP). A key contribution is the novel analysis of discretization error introduced when incorporating the continuous-time Poisson process into the discrete MDP framework. The MDP model’s feasibility is demonstrated with a heuristic dynamic pricing method based on Monte-Carlo tree search, offering a viable path for real-world applications.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA25-18353S" target="_blank" >GA25-18353S: Rozvoj agentů založených na velkých jazykových modelech pomocí hraní her</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Intelligent Transportation Systems

ISSN

1524-9050

e-ISSN

1558-0016

Svazek periodika

26

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

16

Strana od-do

13882-13897

Kód UT WoS článku

001489724200001

EID výsledku v databázi Scopus

2-s2.0-105005191937