Identifying household EV models via weighted power recurrence graphs

H Wang, J Ma, J Zhu - Electric Power Systems Research, 2023 - Elsevier
Electric vehicles (EVs) are becoming the mainstream transport means in the near future and
will play an important role in smart grids with the benefit of energy storage and power factor …

[HTML][HTML] Managed residential electric vehicle charging minimizes electricity bills while meeting driver and community preferences

T Ye, S Liu, E Kontou - Transport Policy, 2024 - Elsevier
Transitions to electric vehicles (EV) are expected to increase electricity use in residences,
where most tend to recharge. We develop a mathematical programming framework for …

Machine Learning-based Electric Vehicle User Behavior Prediction

A Lilhore, KK Prasad, V Agarwal - 2023 IEEE IAS Global …, 2023 - ieeexplore.ieee.org
Electric Vehicles (EV s) have grown rapidly over the past decade but the integration of large-
scale electric vehicles into the power grid is still a challenge. Overloading and harmonic …

Investigating the use of linear programming and evolutionary algorithms for multi-objective electric vehicle charging problem

HK Singh, T Ray, MJ Rana, S Limmer… - IEEE …, 2022 - ieeexplore.ieee.org
With the increasing uptake of electric vehicles (EVs), the need for efficient scheduling of EV
charging is becoming increasingly important. A charging station operator needs to identify …

Deep learning tackles temporal predictions on charging loads of electric vehicles

E Cadete, R Alva, A Zhang, C Ding… - 2022 IEEE Energy …, 2022 - ieeexplore.ieee.org
With the prediction of 145 million electric vehicles on the road by 2030, accommodation of
charging needs for these electric vehicles will impose extra challenges to power grid …

A Comprehensive study of Machine Learning Techniques used for estimating State of Charge for Li-ion Battery

C Mehta, P Sharma, AV Sant - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Electric Vehicles (EVs) are making more and more financial sense as the operational cost of
EVs as compared to Internal Combustion Engine Vehicles (ICEV) is becoming much lower …

[PDF][PDF] Communication frame work in an electric vehicle charging station supporting solar energy management

V George, P Dixit, S Dawnee, K Agarwal… - Indones. J. Electr. Eng …, 2022 - academia.edu
Exploiting Renewable energy to the maximum extent possible in an electric vehicle charging
station (EVCS) is the key in supporting the anticipated carbon reduction from the electric …

基于改进核密度估计的电动出租车快速充电行为研究

田晟, 曾莉莉 - 交通运输系统工程与信息, 2021 - tseit.org.cn
电动汽车充电行为研究是充电负荷时空分布预测, 充电基础设施规划和有序充电管理的基础.
本文基于上海市电动出租车的实测数据, 划分充电片段并提取快速充电行为特征变量 …

Data-Driven Analysis of a NEVI-Compliant EV Charging Station in the Northern Region of the US

A Stenstadvolden, O Stenstadvolden… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This study presents a data-driven analysis of a Level-3 EV charging station on a major
interstate highway in a northern rural region of the United States, focusing on adherence to …

Optimum Scenarios of EV Charging Infrastructure: A Case Study for the Saudi Arabia Market

M Azab - Energies, 2023 - mdpi.com
The lack of an EV charging infrastructure is of the top five barriers preventing the adoption of
EVs on a large scale. A long charging time is also one of the five barriers, according to the …