AI Solutions for Energy Management: Smart Grids and EV Charging
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 87
Special Issue Editors
Interests: state estimation; machine learning; information-theoretic learning, and their applications in brain-computer interfaces (BCIs), robotics, and intelligent battery systems
Interests: battery modeling; states estimation; life prediction; fault diagnosis; battery management system
Interests: deep learning; information theoretical learning; renewable energy power; forecast power; state estimation; energy storage management system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Energy management is crucial for sustainable development, with demand steadily rising due to global population growth and economic progress. As traditional energy resources dwindle, the challenge lies in efficient distribution. Smart grids and Electric Vehicle (EV) charging systems introduce complexities that require advanced management tools. Decision-makers face uncertainties and multifaceted parameters, necessitating innovative solutions.
This Special Issue focuses on the latest advancements in AI-driven solutions for energy management, particularly in the context of smart grids and EV charging. Topics cover the development and application of AI technologies to enhance energy efficiency, manage grid operations, optimize EV charging, and integrate renewable energy sources. The aim is to present cutting-edge research that addresses the complexities of modern energy systems, fostering more intelligent and sustainable energy management practices.
Dr. Lujuan Dang
Dr. Yuan Chen
Dr. Wentao Ma
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- EV charging
- smart grids
- renewable energy sources
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