Overarching sustainable energy management of PV integrated EV parking lots in reconfigurable microgrids using generative adversarial networks

SSK Madahi, AS Kamrani… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In recent years, environmental issues have motivated the wide usage of electric vehicles
(EVs) due to their zero tailpipe emission. However, this trend can pose severe challenges to …

A data-driven management strategy of electric vehicles and thermostatically controlled loads based on modified generative adversarial network

Y Tao, J Qiu, S Lai - IEEE Transactions on Transportation …, 2021 - ieeexplore.ieee.org
As part of the transportation system electrification and decarbonization, electric vehicles
(EVs) have been experiencing a steady growth in some countries in recent years. However …

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 …

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 …

Hybrid technique for optimizing charging-discharging behaviour of EVs and demand response for cost-effective PV microgrid system

SS Kumar, MW Iruthayarajan, R Saravanan - Journal of Energy Storage, 2024 - Elsevier
At present, the unstable availability of renewable energy and the unpredictability of its usage
have a negative impact on the reliable functioning of a microgrid. Furthermore, the presence …

Optimal energy management of automated grids considering the social and technical objectives with electric vehicles

H Dong, Q Gong, M Zhu - International Journal of Electrical Power & Energy …, 2021 - Elsevier
Automated grids are new solutions for enhanced electrical services to the active consumers
from both social and technical aspects. This paper develops an advanced deep learning …

Integration of electric vehicles in smart grid using deep reinforcement learning

F Kiaee - 2020 11th International Conference on Information …, 2020 - ieeexplore.ieee.org
The vehicle-to-grid (V2G) technology provides an opportunity to generate revenue by selling
electricity back to the grid at peak times when electricity is more expensive. Instead of …

[HTML][HTML] Two-stage scheduling of smart electric vehicle charging stations and inverter-based Volt-VAR control using a prediction error-integrated deep reinforcement …

S Lee, DH Choi - Energy Reports, 2023 - Elsevier
Smart electric vehicle charging stations (EVCSs) having distributed energy resources
(DERs), including photovoltaic (PV) systems and energy storage systems (ESSs), are …

Machine Learning-Based Control of Electric Vehicle Charging for Practical Distributions Systems With Solar Generation

I Calero, CA Cañizares, M Farrokhabadi… - … on Smart Grid, 2023 - ieeexplore.ieee.org
The adoption of Electric Vehicles (EVs) and solar Photovoltaic (PV) generation by
households is rapidly and significantly increasing. Utilities are facing the challenge of …

Privacy-preserving context-based electric vehicle dispatching for energy scheduling in microgrids: An online learning approach

Y Liu, P Zhou, L Yang, Y Wu, Z Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Electric Vehicles (EVs) are beginning to play a key role in the fast developing area of
Internet of Things (IoT). Numerous results have shown the feasibility of vehicle-to-building …