[HTML][HTML] Assessment of charging technologies, infrastructure and charging station recommendation schemes of electric vehicles: A review

GF Savari, MJ Sathik, LA Raman, A El-Shahat… - Ain Shams Engineering …, 2023 - Elsevier
This article comprehensively reviews recent Electric Vehicle (EV) charging infrastructure,
technology, and issues related to charging station identification. A literature study on the …

Charging infrastructure for commercial electric vehicles: Challenges and future works

B Al-Hanahi, I Ahmad, D Habibi, MAS Masoum - IEEE Access, 2021 - ieeexplore.ieee.org
The journey towards transportation electrification started with small electric vehicles (ie,
electric cars), which have enjoyed an increasing level of global interest in recent years …

Impact of electric vehicle charging on the power demand of retail buildings

M Gilleran, E Bonnema, J Woods, P Mishra… - Advances in Applied …, 2021 - Elsevier
As electric vehicle penetration increases, charging is expected to have a significant impact
on the grid. Electric vehicle charging stations will greatly affect a building site's power …

Dynamic pricing and energy management for profit maximization in multiple smart electric vehicle charging stations: A privacy-preserving deep reinforcement learning …

S Lee, DH Choi - Applied Energy, 2021 - Elsevier
Profit maximization of electric vehicle charging station (EVCS) operation yields an
increasing investment for the deployment of EVCSs, thereby increasing the penetration of …

Deep reinforcement learning-based charging pricing for autonomous mobility-on-demand system

Y Lu, Y Liang, Z Ding, Q Wu, T Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The autonomous mobility-on-demand (AMoD) system plays an important role in the urban
transportation system. The charging behavior of AMoD fleet becomes a critical link between …

Big data analysis technology for electric vehicle networks in smart cities

Z Lv, L Qiao, K Cai, Q Wang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
To explore the electric vehicle networks in smart cities through big data analysis technology,
this study utilizes K-means and fuzzy theory in big data analysis technology to construct an …

Pricing for electric vehicle charging stations based on the responsiveness of demand

S Lai, J Qiu, Y Tao, J Zhao - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
Electric vehicles (EVs) have the promising potential to be effective in mitigating greenhouse
gas emissions in the transportation sector. Hence, the penetration of EVs in some countries …

Optimal sizing design and operation of electrical and thermal energy storage systems in smart buildings

A Baniasadi, D Habibi, W Al-Saedi, MAS Masoum… - Journal of Energy …, 2020 - Elsevier
Photovoltaic (PV) systems in residential buildings require energy storage to enhance their
productivity; however, in present technology, battery storage systems (BSSs) are not the …

Dynamic pricing for EV charging stations: A deep reinforcement learning approach

Z Zhao, CKM Lee - IEEE Transactions on Transportation …, 2021 - ieeexplore.ieee.org
Dynamic pricing, which aims to dynamically adjust the charging price in a timely fashion to
unlock the flexibility of electric vehicle (EV) customers, has been extensively studied with the …

Optimal charging strategy for electric vehicles in residential charging station under dynamic spike pricing policy

L Gong, W Cao, K Liu, J Zhao - Sustainable Cities and Society, 2020 - Elsevier
Nowadays, much attention has been drawn to environmental protection. Traveling by
electric vehicles (EVs) instead of conventional fuel cars is strongly supported by national …