Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - Applied energy, 2017 - Elsevier
This paper presents a time-spatial electric vehicle (EV) charging-power demand forecast
model at fast-charging stations located in urban areas. Most previous studies have …

A spatial-temporal charging load forecast and impact analysis method for distribution network using EVs-traffic-distribution model

Y Shao, Y Mu, X Yu, X Dong, H Jia, J Wu… - Proceedings of the …, 2017 - orca.cardiff.ac.uk
A method for the forecast of charging load of electric vehicles (EVs) under “EVs-Traffic-
Distribution”(ETD) system was developed to precisely manifest the spatial-temporal …

Spatial and temporal model of electric vehicle charging demand

S Bae, A Kwasinski - IEEE Transactions on Smart Grid, 2011 - ieeexplore.ieee.org
This paper presents a spatial and temporal model of electric vehicle charging demand for a
rapid charging station located near a highway exit. Most previous studies have assumed a …

[HTML][HTML] An integrated optimization platform for spatial-temporal modeling of electric vehicle charging infrastructure

X Li, A Jenn - Transportation Research Part D: Transport and …, 2022 - Elsevier
Vehicle electrification has been identified as one of the most important roles in decreasing
greenhouse gas (GHG) emissions in transportation. Proper placement of charging …

EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVs

J Yan, J Zhang, Y Liu, G Lv, S Han, IEG Alfonzo - Renewable energy, 2020 - Elsevier
With the rapid development of electric vehicles (EVs), EV charging load simulation is of
significance to tackle the challenges for planning and operating a highly-penetrated power …

Spatio-temporal modelling of electric vehicle charging demand and impacts on peak household electrical load

P Paevere, A Higgins, Z Ren, M Horn, G Grozev… - Sustainability …, 2014 - Springer
This paper presents a composite methodology for obtaining spatial and temporal projections
of charging demand and peak-shaving potential from plug-in electric vehicles (EVs), and the …

Stochastic user equilibrium based spatial-temporal distribution prediction of electric vehicle charging load

K Liu, Y Liu - Applied Energy, 2023 - Elsevier
As the number of electric vehicles (EVs) connected to the grid increases, the EV electricity
demand rises dramatically, affecting the grid's planning and operation and deepening the …

Characteristics of electric vehicle charging demand at multiple types of location-Application of an agent-based trip chain model

H Lin, K Fu, Y Wang, Q Sun, H Li, Y Hu, B Sun… - Energy, 2019 - Elsevier
This paper developed an agent-based trip chain model (ABTCM) to study the distribution of
electric vehicles (EVs) charging demand and its dynamic characteristics, including flexibility …

Research on the spatial-temporal distribution of electric vehicle charging load demand: A case study in China

T Yi, C Zhang, T Lin, J Liu - Journal of Cleaner Production, 2020 - Elsevier
The surge in the number of electric vehicle (EV) users has brought a large amount of EV
charging demands in recent years, making China construct tens of thousands of charging …

Charging demand analysis framework for electric vehicles considering the bounded rationality behavior of users

J Yang, F Wu, J Yan, Y Lin, X Zhan, L Chen… - International Journal of …, 2020 - Elsevier
A novel analytic framework is proposed for the charging demand of electric vehicles (EVs),
which considers charging demand is primarily determined by the travel behavior. And the …