Reinforcement learning based EV charging management systems–a review
HM Abdullah, A Gastli, L Ben-Brahim - IEEE Access, 2021 - ieeexplore.ieee.org
To mitigate global warming and energy shortage, integration of renewable energy
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …
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' …
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
Learning to operate an electric vehicle charging station considering vehicle-grid integration
The rapid adoption of electric vehicles (EVs) calls for the widespread installation of EV
charging stations. To maximize the profitability of charging stations, intelligent controllers …
charging stations. To maximize the profitability of charging stations, intelligent controllers …
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 …
[HTML][HTML] Application of artificial intelligence for EV charging and discharging scheduling and dynamic pricing: A review
The high penetration of electric vehicles (EVs) will burden the existing power delivery
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …
Pricing for electric vehicle charging stations based on the responsiveness of demand
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 …
gas emissions in the transportation sector. Hence, the penetration of EVs in some countries …
Deep reinforcement learning for smart grid operations: algorithms, applications, and prospects
With the increasing penetration of renewable energy and flexible loads in smart grids, a
more complicated power system with high uncertainty is gradually formed, which brings …
more complicated power system with high uncertainty is gradually formed, which brings …
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 …
An effective energy management Layout-Based reinforcement learning for household demand response in digital twin simulation
H Liu, Q Liu, C Rao, F Wang, F Alsokhiry, AV Shvetsov… - Solar Energy, 2023 - Elsevier
With the growth in energy consumption, demand response (DR) programs in the power
network have gained popularity and can be expected to become more widespread in the …
network have gained popularity and can be expected to become more widespread in the …
Dispatch management of portable charging stations in electric vehicle networks
The global market share of plug-in electric vehicles (PEVs) is on the rise, resulting in a rapid
increase in charging demand in both spatial and temporal domains. The network and …
increase in charging demand in both spatial and temporal domains. The network and …