The Future of Renewable Energy: AI-Optimized Smart Grids for Sustainable Power Distribution
Abstract
Renewable energy sources such as solar and wind are crucial for reducing carbon emissions, but their integration into power grids presents challenges in efficiency and reliability. This paper investigates how artificial intelligence (AI) enhances the performance of smart grids by predicting energy demand, optimizing distribution, and mitigating fluctuations in supply. Using machine learning models and IoT-enabled sensors, smart grids can achieve real-time energy adjustments. Case studies from China’s renewable energy initiatives in cities like Beijing and Shanghai demonstrate AI-driven improvements in grid efficiency. The study provides policy recommendations for the global adoption of AI-enhanced smart grid technology.
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