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A comprehensive review of power converter topologies and control methods for electric vehicle fast charging applications
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 …
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
With advances in technologies, data science techniques, and computing equipment, there
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …
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
Transportation electrification plays a crucial role in mitigating greenhouse gas (GHG)
emissions and enabling the decarbonization of power systems. However, current research …
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
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
While a large number of public charging stations are available, the use of these stations is …