The Journal of AI-Driven Renewable Energy Systems (JADRES) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality research on the application of artificial intelligence in renewable energy systems and modern power networks.
The journal covers advanced topics including AI-based control of power electronic converters, intelligent energy management, smart grids, renewable energy integration, microgrids, electric vehicles, power quality enhancement, and data-driven optimization and control of energy systems.
JADRES aims to provide a global platform for researchers, engineers, and professionals to share innovative solutions that contribute to the development of intelligent, efficient, and sustainable energy systems. The journal seeks to bridge the gap between artificial intelligence and renewable energy engineering by promoting cutting-edge, data-driven methodologies and real-world applications.
All submitted manuscripts undergo a rigorous double-blind peer review process to ensure high academic standards, originality, and research integrity.
We invite researchers to submit high-quality papers in AI-driven renewable energy systems, power systems, power electronics, and energy-related electromechanical, mechanical, and thermal systems.
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