[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review

D Qiu, Y Wang, W Hua, G Strbac - Renewable and Sustainable Energy …, 2023 - Elsevier
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …

A review on a data-driven microgrid management system integrating an active distribution network: Challenges, issues, and new trends

L Tightiz, J Yoo - Energies, 2022 - mdpi.com
The advent of renewable energy sources (RESs) in the power industry has revolutionized
the management of these systems due to the necessity of controlling their stochastic nature …

Multi-agent reinforcement learning for intelligent V2G integration in future transportation systems

J Dong, A Yassine, A Armitage… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electric vehicles (EVs) are the backbone of the future intelligent transportation system (ITS).
They are environmentally friendly and can also be integrated as distributed energy …

[HTML][HTML] Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation

MM Shibl, LS Ismail, AM Massoud - Energy Reports, 2023 - Elsevier
EVs are becoming more popular and widely used worldwide due to their environmentally
friendliness as part of the world efforts to decrease the effects of climate change. Moreover …

Development of improved reinforcement learning smart charging strategy for electric vehicle fleet

SJ Sultanuddin, R Vibin, AR Kumar, NR Behera… - Journal of Energy …, 2023 - Elsevier
Due to its environmental and energy sustainability, electric vehicles (EV) have emerged as
the preferred option in the current transportation system. Uncontrolled EV charging …

Overview and prospect of information and communication technology development in virtual power plants

B Li, JJ Wang, XF Bai, TY Tang, JL Zhao… - Energy Conversion …, 2022 - Wiley Online Library
As a new energy‐supply service solution to address massive, distributed energy access to
the power system, a virtual power plant has higher transmission reliability and real‐time …

Smart EV Charging with Context-Awareness: Enhancing Resource Utilization via Deep Reinforcement Learning

M Sharif, H Seker - IEEE Access, 2024 - ieeexplore.ieee.org
The widespread adoption of electric vehicles (EVs) has introduced new challenges for
stakeholders ranging from grid operators to EV owners. A critical challenge is to develop an …

An overview: Attention mechanisms in multi-agent reinforcement learning

K Hu, K Xu, Q Xia, M Li, Z Song, L Song, N Sun - Neurocomputing, 2024 - Elsevier
In recent years, in the field of Multi-Agent Systems (MAS), significant progress has been
made in the research of algorithms that combine Reinforcement Learning (RL) with Attention …

[HTML][HTML] A review of federated learning in renewable energy applications: Potential, challenges, and future directions

A Grataloup, S Jonas, A Meyer - Energy and AI, 2024 - Elsevier
Federated learning has recently emerged as a privacy-preserving distributed machine
learning approach. Federated learning enables collaborative training of multiple clients and …

[HTML][HTML] Leveraging machine learning for efficient EV integration as mobile battery energy storage systems: Exploring strategic frameworks and incentives

MJ Salehpour, MJ Hossain - Journal of Energy Storage, 2024 - Elsevier
The emergence of electric vehicles is reshaping the energy landscape, requiring the
development of innovative energy integration mechanisms to engage prosumers. However …