A comprehensive review of power converter topologies and control methods for electric vehicle fast charging applications

M Safayatullah, MT Elrais, S Ghosh, R Rezaii… - IEEe …, 2022 - ieeexplore.ieee.org
Wide-scale adoption and projected growth of electric vehicles (EVs) necessitate research
and development of power electronic converters to achieve high power, low-cost, and …

Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

Y Yan, AHF Chow, CP Ho, YH Kuo, Q Wu… - … Research Part E …, 2022 - Elsevier
With advances in technologies, data science techniques, and computing equipment, there
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …

[HTML][HTML] A systematic review on power systems planning and operations management with grid integration of transportation electrification at scale

Q Zhang, J Yan, HO Gao, F You - Advances in Applied Energy, 2023 - Elsevier
Transportation electrification plays a crucial role in mitigating greenhouse gas (GHG)
emissions and enabling the decarbonization of power systems. However, current research …

Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing

N Fescioglu-Unver, MY Aktaş - Renewable and Sustainable Energy …, 2023 - Elsevier
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …

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 …

Strategic pricing of electric vehicle charging service providers in coupled power-transportation networks

K Li, C Shao, H Zhang, X Wang - IEEE Transactions on Smart …, 2022 - ieeexplore.ieee.org
Electric vehicles (EVs) are develo** at a rapid pace. The EV charging station (EVCS)
plays an indispensable role in supplying EV charging demand and promoting the …

A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing

H Kuang, H Qu, K Deng, J Li - Applied Energy, 2024 - Elsevier
A growing number of electric vehicles (EVs) is putting pressure on smart charging services.
As a foundation of informing drivers of vacant charging facilities and rationalizing pricing, an …

Electric vehicle optimum charging-discharging scheduling with dynamic pricing employing multi agent deep neural network

B Aljafari, PR Jeyaraj, AC Kathiresan… - Computers and Electrical …, 2023 - Elsevier
Abstract Electric Vehicles (EVs) are environmentally friendly. Extensive progress makes EVs
popularly deployed and adopted. Once EVs are connected to the smart grid, EVs can act as …

Electric vehicle charging and discharging scheduling strategy based on dynamic electricity price

L Ren, M Yuan, X Jiao - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The rapid growth in the number of electric vehicles (EVs) has significantly increased the
demand for electricity for residents. In addition, because the charging time of EVs highly …

Multi-agent graph convolutional reinforcement learning for dynamic electric vehicle charging pricing

W Zhang, H Liu, J Han, Y Ge, H **ong - Proceedings of the 28th ACM …, 2022 - dl.acm.org
Electric Vehicles (EVs) have been emerging as a promising low-carbon transport target.
While a large number of public charging stations are available, the use of these stations is …