Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing

N Fescioglu-Unver, MY Aktaş - Renewable and Sustainable Energy …, 2023 - Elsevier
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …

Vehicle emission models and traffic simulators: a review

M Mądziel - Energies, 2023 - mdpi.com
Accurate estimations and assessments of vehicle emissions can support decision-making
processes. Current emission estimation tools involve several calculation methods that …

[HTML][HTML] Multistep electric vehicle charging station occupancy prediction using hybrid LSTM neural networks

TY Ma, S Faye - Energy, 2022 - Elsevier
Public charging station occupancy prediction plays key importance in developing a smart
charging strategy to reduce electric vehicle (EV) operator and user inconvenience. However …

Charging electric vehicles today and in the future

J Leijon, C Boström - World Electric Vehicle Journal, 2022 - mdpi.com
It is expected that more vehicles will be electrified in the coming years. This will require
reliable access to charging infrastructure in society, and the charging will include data …

Sustainable hybrid station design framework for electric vehicle charging and hydrogen vehicle refueling based on multiple attributes

M Tahir, S Hu, T Khan, H Zhu - Energy Conversion and Management, 2024 - Elsevier
The rapid development of green charging and refueling stations is vital for the widespread
adoption of fuel cell electric vehicles and battery electric vehicles. This paper investigates …

Harmonic and supraharmonic emissions of plug-in electric vehicle chargers

A Mariscotti - Smart Cities, 2022 - mdpi.com
Electric vehicle (EV) charging represents a relevant electric load with a rapid evolution in
terms of number, power rating and distortion, in particular, considering the connection to the …

EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system

Y Qi, G Mai, R Zhu, M Zhang - Transactions in GIS, 2023 - Wiley Online Library
Over the past decade, the electric vehicle (EV) industry has experienced unprecedented
growth and diversification, resulting in a complex ecosystem. To effectively manage this …

Ast-gin: Attribute-augmented spatiotemporal graph informer network for electric vehicle charging station availability forecasting

R Luo, Y Song, L Huang, Y Zhang, R Su - Sensors, 2023 - mdpi.com
Electric Vehicle (EV) charging demand and charging station availability forecasting is one of
the challenges in the intelligent transportation system. With accurate EV station availability …

Operation and control of multiple electric vehicle load profiles in bipolar microgrid with photovoltaic and battery energy systems

KS Nisha, DN Gaonkar, NS Jayalakshmi - Journal of Energy Storage, 2023 - Elsevier
Charging of electric vehicles is going to be a major electrical load in the near future, as more
and more population shift to electric auto-motives from conventional internal combusted …

DDoS attack dataset (CICEV2023) against EV authentication in charging infrastructure

Y Kim, S Hakak, A Ghorbani - 2023 20th Annual International …, 2023 - ieeexplore.ieee.org
Denial-of-Service (DoS) or Distributed DoS (DDoS) attacks are on the rise in smart grid-
based electric vehicle (EV) charging facilities. To develop effective mitigation solutions …