Too much or not enough? Planning electric vehicle charging infrastructure: A review of modeling options

MO Metais, O Jouini, Y Perez, J Berrada… - … and Sustainable Energy …, 2022 - Elsevier
While the transportation sector is responsible for a growing share of greenhouse gas
emissions, electric vehicles (EVs) offer solutions for greener mobility. The proportion of …

Computational challenges and approaches for electric vehicles

AK Kalakanti, S Rao - ACM Computing Surveys, 2023 - dl.acm.org
Researchers worldwide have become increasingly interested in developing computational
approaches to handle challenges facing electric vehicles (EVs) in recent years. This article …

The role of artificial intelligence in the mass adoption of electric vehicles

M Ahmed, Y Zheng, A Amine, H Fathiannasab, Z Chen - Joule, 2021 - cell.com
The electrification of mass transportation is hailed as a solution for reducing global
greenhouse-gas emissions and dependence on unsustainable energy sources. The annual …

A survey-based assessment of how existing and potential electric vehicle owners perceive range anxiety

D Pevec, J Babic, A Carvalho… - Journal of cleaner …, 2020 - Elsevier
Electric vehicle (EV) owners enjoy many positive aspects when driving their cars, including
low running costs and zero tailpipe gas emissions, which makes EVs a clean technology …

Relative evaluation of regression tools for urban area electrical energy demand forecasting

NJ Johannesen, M Kolhe, M Goodwin - Journal of cleaner production, 2019 - Elsevier
Load forecasting is the most fundamental application in Smart-Grid, which provides
essential input to Demand Response, Topology Optimization and Abnormally Detection …

A novel normal wiggly hesitant fuzzy multi-criteria group decision making method and its application to electric vehicle charging station location

P Zhang, Z Zhang, D Gong, X Cui - Expert Systems with Applications, 2023 - Elsevier
Electric vehicle charging station location (EVCSL) is critical to promoting the electric vehicle
industry and how it is evaluated is typically a MCDM issue. In this paper, an applicable multi …

Electric vehicle range anxiety: An obstacle for the personal transportation (r) evolution?

D Pevec, J Babic, A Carvalho… - … conference on smart …, 2019 - ieeexplore.ieee.org
Trends in the electromobility industry, increasing research efforts related to alternative fueled
vehicles, as well as growing environmental concerns are suggesting that the transition from …

基于深度强化学习的大规模电动汽车充换电负荷优化调度

刘敦楠, 王玲湘, 汪伟业, 李华, 王文… - 电力系统自动化, 2022 - epjournal.csee.org.cn
针对大规模充换电站的聚合优化调度问题, 提出一种基于SAC 深度强化学习的充换电负荷实时
优化调度策略. 该策略充分考虑了负荷调控过程中的用户因素, 系统因素和市场因素 …

A data-driven approach to managing electric vehicle charging infrastructure in parking lots

J Babic, A Carvalho, W Ketter, V Podobnik - Transportation Research Part …, 2022 - Elsevier
Underdeveloped charging infrastructure is one of the main barriers to widespread electric
vehicle (EV) adoption. Transforming parking lots into EV-enabled parking lots that provide …

Predicting popularity of electric vehicle charging infrastructure in urban context

M Straka, P De Falco, G Ferruzzi, D Proto… - IEEE …, 2020 - ieeexplore.ieee.org
The availability of charging infrastructure is essential for large-scale adoption of electric
vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not …