Energy allocation for vehicle-to-grid settings: A low-cost proposal combining DRL and VNE
As electric vehicle (EV) ownership becomes more commonplace, partly due to government
incentives, there is a need also to design solutions such as energy allocation strategies to …
incentives, there is a need also to design solutions such as energy allocation strategies to …
A data-driven solution for intelligent power allocation of connected hybrid electric vehicles inspired by offline deep reinforcement learning in V2X scenario
Z Niu, H He - Applied Energy, 2024 - Elsevier
The proper power allocation between multiple energy sources is crucial for hybrid electric
vehicles to guarantee energy economy. As a data-driven technique, offline deep …
vehicles to guarantee energy economy. As a data-driven technique, offline deep …
Recent challenges in vehicle to grid integrated renewable energy system: a review
S Esther, SK Singh, AK Goswami… - … on Intelligent Computing …, 2018 - ieeexplore.ieee.org
The electricity and transportation industries are the main sources of greenhouse gas (GHG)
emission on the earth. Renewable Energy Sources (RES) like solar and wind can reduce …
emission on the earth. Renewable Energy Sources (RES) like solar and wind can reduce …
Robust Vehicle-to-Grid Energy Trading Method Based on Smart Forecast and Multi-Blockchain Network
Y Liang, Z Wang, AB Abdallah - IEEE Access, 2024 - ieeexplore.ieee.org
In the present era, energy issues are a significant concern, and the energy trading market is
the crucial sector to facilitate supply-demand balance and sustainable development. For …
the crucial sector to facilitate supply-demand balance and sustainable development. For …
An efficient vehicle-to-vehicle (V2V) energy sharing framework
The proliferation of electric vehicles (EVs), owing to their advantages over internal
combustion engine vehicles, has introduced many challenges, due to the lack of charging …
combustion engine vehicles, has introduced many challenges, due to the lack of charging …
EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management
This paper investigates the increasing roles of Renewable Energy Sources (RES) and
Electric Vehicles (EVs). While indicating a new era of sustainable energy, these also …
Electric Vehicles (EVs). While indicating a new era of sustainable energy, these also …
A stable matching game for v2v energy sharing–a user satisfaction framework
Electric Vehicles (EVs) are being widely adopted to completely replace vehicles with internal
combustion engines. However, the development of charging infrastructure to support the …
combustion engines. However, the development of charging infrastructure to support the …
Data-driven matching protocol for vehicle-to-vehicle energy management considering privacy preservation
To address the increasing concern on environmental issues, electric vehicles (EVs) have
been attracting more attention. On the one hand, the high penetration level of EVs will bring …
been attracting more attention. On the one hand, the high penetration level of EVs will bring …
Integrating Vehicle-to-Grid Technologies in Autonomous Electric Vehicle Systems
P Seo-yeon, C Sung-hoon - Applied Research in Artificial …, 2022 - researchberg.com
Abstract Electrochemical Vehicle-to-Grid (V2G) technologies in autonomous electric
vehicles (EVs) offer immense potential to revolutionize energy management and optimize …
vehicles (EVs) offer immense potential to revolutionize energy management and optimize …
Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks
With the growing popularity of electric vehicles (EVs), maintaining power grid stability has
become a significant challenge. To address this issue, EV charging control strategies have …
become a significant challenge. To address this issue, EV charging control strategies have …