This review analyzes AI-driven techniques for improving efficiency and integration in renewable energy systems, suggesting significant advancements in energy management.
The global transition to renewable energy sources (RES) such as solar, wind, and hydropower has introduced new challenges in system operation, grid integration, and energy management due to intermittency, variability, and distributed generation. Artificial Intelligence (AI) provides advanced solutions to address these challenges, enabling predictive modeling, optimization, fault detection, and intelligent control. This review paper presents a comprehensive analysis of AI-driven approach
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Mubarak Mubarak (2026) studied this question.
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