Artificial Intelligence for Renewable Energy: Applications in Prediction, Optimization, and Management
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: 25 February 2026 | Viewed by 26
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapid evolution of artificial intelligence (AI) is reshaping the landscape of renewable energy, offering powerful tools to tackle complex challenges. From forecasting fluctuating power output to optimizing grid operations and managing energy systems, AI is at the forefront of this transformation. The abundance of data from solar farms, wind turbines, and smart grids provides great opportunities to develop data-driven solutions that are more efficient and intelligent than ever before.
This Special Issue aims to archive the latest developments in AI methods specifically tailored to the unique characteristics of renewable energy problems.
Topics of interest for publication include the following:
- AI-driven forecasting models for renewable energy generation;
- Multi-modal fault diagnosis methods for renewable energy-related equipment;
- Intelligent optimization methods for renewable energy system operation and management;
- Advanced condition monitoring and remaining useful lifetime prediction methods;
- Multi-modal large language model-empowered renewable energy engineering applications;
- Other relevant topics are also highly welcome.
Dr. Xin Liu
Guest Editor
Manuscript Submission Information
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Keywords
- renewable energy
- forecasting
- optimization
- deep learning
- reinforcement learning
- prognostics and health management
- large language model
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