A review of consumer preferences of and interactions with electric vehicle charging infrastructure

S Hardman, A Jenn, G Tal, J Axsen, G Beard… - … Research Part D …, 2018 - Elsevier
This paper presents a literature review of studies that investigate infrastructure needs to
support the market introduction of plug-in electric vehicles (PEVs). It focuses on literature …

[HTML][HTML] Demand side management of electric vehicles in smart grids: A survey on strategies, challenges, modeling, and optimization

S Mohanty, S Panda, SM Parida, PK Rout, BK Sahu… - Energy Reports, 2022 - Elsevier
The shift of transportation technology from internal combustion engine (ICE) based vehicles
to electric vehicles (EVs) in recent times due to their lower emissions, fuel costs, and greater …

Exploring electric vehicle charging patterns: Mixed usage of charging infrastructure

JH Lee, D Chakraborty, SJ Hardman, G Tal - Transportation Research Part …, 2020 - Elsevier
This paper examines the charging behavior of 7,979 plug-in electric vehicle (PEV) owners in
California. The study investigates where people charge be it at home, at work, or at public …

Machine learning approaches for EV charging behavior: A review

S Shahriar, AR Al-Ali, AH Osman, S Dhou… - IEEE Access, 2020 - ieeexplore.ieee.org
As the smart city applications are moving from conceptual models to development phase,
smart transportation is one of smart cities applications and it is gaining ground nowadays …

A review of data sources for electric vehicle integration studies

L Calearo, M Marinelli, C Ziras - Renewable and Sustainable Energy …, 2021 - Elsevier
The sales of electric vehicles (EVs) are rapidly increasing and their integration in the power
system is becoming a crucial issue. However, there is a scarcity of necessary data to derive …

Battery electric vehicle usage pattern analysis driven by massive real-world data

D Cui, Z Wang, P Liu, S Wang, Z Zhang, DG Dorrell… - Energy, 2022 - Elsevier
Electric vehicles (EVs) are playing a key role in supporting transportation electrification and
reducing air pollution and greenhouse gas emissions. The increased number of EVs may …

[HTML][HTML] Battery Electric Vehicle adoption in regions without strong policies

G Brückmann, F Willibald, V Blanco - Transportation Research Part D …, 2021 - Elsevier
Individual motorized transport is a major source of emissions and needs to be reduced to
meet international agreements. Although alternatives to internal combustion engine vehicles …

Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations

I Ullah, K Liu, T Yamamoto, M Zahid… - International Journal of …, 2022 - Wiley Online Library
Electric vehicles (EVs) are the most important components of smart transportation systems.
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …

Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction

I Ullah, K Liu, T Yamamoto, M Zahid, A Jamal - Travel Behaviour and …, 2023 - Elsevier
Growing electric mobility makes it difficult for electric vehicles (EVs) to charge adequately
while charging infrastructure capacities are limited. Due to the prolonged charging times …

Plug-in electric vehicles in electric distribution networks: A review of smart charging approaches

J García-Villalobos, I Zamora, JI San Martín… - … and Sustainable Energy …, 2014 - Elsevier
Plug-in electric vehicles (PEV) are emerging as an efficient and sustainable alternative for
private and public road transportation. From the point of view of electric grids, PEVs are …