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 …

Towards data-driven energy communities: A review of open-source datasets, models and tools

H Kazmi, Í Munné-Collado, F Mehmood… - … and Sustainable Energy …, 2021 - Elsevier
Energy communities will play a central role in the sustainable energy transition by hel**
inform and engage end users to become more responsible consumers of energy. However …

[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 …

[HTML][HTML] Lithium-ion battery utilization in various modes of e-transportation

B Tepe, S Jablonski, H Hesse, A Jossen - eTransportation, 2023 - Elsevier
The electrification of the transportation sector leads to an increased deployment of lithium-
ion batteries in vehicles. Today, traction batteries are installed, for example, in electric cars …

nPro: A web-based planning tool for designing district energy systems and thermal networks

M Wirtz - Energy, 2023 - Elsevier
District energy systems play a key role in the energy transition, especially for the
decarbonization of the heating and cooling sector. However, there is a lack of suitable …

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 …

Energy consumption prediction and analysis for electric vehicles: A hybrid approach

H Mediouni, A Ezzouhri, Z Charouh, K El Harouri… - energies, 2022 - mdpi.com
Range anxiety remains one of the main hurdles to the widespread adoption of electric
vehicles (EVs). To mitigate this issue, accurate energy consumption prediction is required. In …

OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap

L Strobel, M Pruckner - Computers, Environment and Urban Systems, 2023 - Elsevier
This paper introduces OMOD (OpenStreetMap Mobility Demand Generator), a new open-
source activity-based mobility demand generation tool. OMOD uses a data-driven approach …

[HTML][HTML] Quantifying the carbon footprint of energy storage applications with an energy system simulation framework—Energy System Network

A Parlikar, B Tepe, M Möller, H Hesse… - Energy Conversion and …, 2024 - Elsevier
Energy storage is a crucial flexibility measure to temporally decouple power generation from
power demand and is touted as the missing link in realizing a decarbonized energy system …

Modeling electric vehicle behavior: Insights from long-term charging and energy consumption patterns through empirical trajectory data

Q Yu, J Li, D Feng, X Liu, J Yuan, H Zhang, X Wang - Applied Energy, 2025 - Elsevier
Understanding electric vehicle (EV) charging demand and user behavior is crucial for
effective infrastructure design. Existing studies on electric vehicle charging patterns have …