Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview

X Li, Z Wang, L Zhang, F Sun, D Cui, C Hecht… - Energy, 2023 - Elsevier
The increasing electric vehicle (EV) adoption in the context of transportation electrification
and carbon neutrality pursuit brings both new challenges and opportunities for all the …

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 …

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 …

[HTML][HTML] Impact of mass-scale deployment of electric vehicles and benefits of smart charging across all European countries

A Mangipinto, F Lombardi, FD Sanvito, M Pavičević… - Applied Energy, 2022 - Elsevier
The mass-scale integration of electric vehicles into the power system is a key pillar of the
European energy transition agenda. Yet, the extent to which such integration would …

Charging demand prediction in Bei**g based on real-world electric vehicle data

J Zhang, Z Wang, EJ Miller, D Cui, P Liu… - Journal of Energy …, 2023 - Elsevier
The accurate estimation and prediction of charging demand play an essential role in
charging infrastructure planning, power grid laying and efficient operations. In this paper …

[HTML][HTML] Data-driven charging demand prediction at public charging stations using supervised machine learning regression methods

A Almaghrebi, F Aljuheshi, M Rafaie, K James… - Energies, 2020 - mdpi.com
Plug-in Electric Vehicle (PEV) user charging behavior has a significant influence on a
distribution network and its reliability. Generally, monitoring energy consumption has …

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 …

[HTML][HTML] The impact of plug-in behavior on the spatial–temporal flexibility of electric vehicle charging load

C Gschwendtner, C Knoeri, A Stephan - Sustainable Cities and Society, 2023 - Elsevier
While electric vehicles (EVs) are expected to support decarbonizing transport, EVs can
challenge the electricity system. Investigating the EV charging load and its flexibility, eg, by …

[HTML][HTML] Analysis of residential EV energy flexibility potential based on real-world charging reports and smart meter data

ÅL Sørensen, KB Lindberg, I Sartori, I Andresen - Energy and Buildings, 2021 - Elsevier
The increase in the number of electric vehicles leads to an increased demand for residential
charging. While EV electric loads can have a negative impact on the power grid, they also …

Forecasting electricity demand of electric vehicles by analyzing consumers' charging patterns

HB Moon, SY Park, C Jeong, J Lee - Transportation Research Part D …, 2018 - Elsevier
The spread of electric vehicles (EVs) and their increasing demand for electricity has placed
a greater burden on electricity generation and the power grid. In particular, the problem of …