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IJSRTD | Research Paper Details

Research Paper Details

TitleArtificial Intelligence-Driven Optimization for Renewable Energy Systems
Research AreaArtificial Intelligence
AbstractThe global energy demand is rising rapidly, while the need for sustainable energy solutions is more urgent than ever. Renewable energy systems such as solar, wind, and hydropower provide clean alternatives but face significant challenges in efficiency, variability, and integration with existing grids. Artificial Intelligence (AI) offers advanced methods for forecasting, optimization, and real-time decision-making to enhance renewable energy utilization. This study proposes an AI-driven optimization framework for renewable energy systems, incorporating machine learning models for power prediction and reinforcement learning for dynamic energy distribution. Results indicate improved efficiency, reduced energy losses, and enhanced reliability in grid integration.
KeywordsArtificial Intelligence, Renewable Energy, Energy Optimization, Smart Grid, Sustainability
Paper StatusPublished
Volume1
Issue2
Published On17/03/2025
Published File IJSRTD_4848.pdf