About the Journal
The Journal of AI-Driven Renewable Energy Systems (JADRES) is an international, peer-reviewed journal dedicated to publishing high-quality research on the application of artificial intelligence in renewable energy systems, modern power systems, and power electronics.
The journal aims to provide a global platform for researchers, academics, and industry professionals to share innovative solutions and advanced methodologies that enhance the performance, reliability, and intelligence of sustainable energy systems.
JADRES covers a wide range of topics, including, but not limited to:
- AI-based control of power electronic converters
- Intelligent control and optimization of power systems
- Smart grids and digital energy systems
- Renewable energy integration, operation, and management
- Microgrids and distributed energy resources
- Electric vehicles and charging infrastructures
- Power quality analysis, monitoring, and enhancement
- Data-driven modeling, forecasting, and optimization
- Machine learning and deep learning applications in energy systems
The journal publishes original research articles, review papers, and short communications that contribute to the advancement of intelligent, efficient, and sustainable energy systems.
All submitted manuscripts undergo a rigorous double-blind peer review process to ensure the quality, originality, and integrity of the published work. JADRES is committed to a fair, transparent, and timely publication process.
