Artificial Intelligence System on Renewable Energy in Sustainable Development

This paper examines the role of technological innovation in artificial intelligence's (AI) pivotal role in advancing renewable energy within the framework of sustainable development. We can enhance the efficiency, reliability, and cost-effectiveness of renewable energy systems like solar, wind, and hydropower by utilizing AI's capabilities in data analysis, predictive modeling, and optimization. Precise forecasting reduces expenses and downtime, balancing clean energy production, weather data, satellite imagery, and sensors for performance predictions. AI facilitates smart grid management, enhances energy storage solutions, and supports the integration of renewable energy sources into existing power grids. Moreover, AI-driven innovations contribute to reducing carbon emissions, optimizing resource utilization, and enabling more accurate forecasting of energy production and consumption patterns. The synergy between AI and renewable energy not only accelerates the transition to cleaner energy systems but also underpins global efforts towards achieving sustainable development goals, including energy security, environmental protection, and economic growth. The aim is to explore the transformative potential to incorporate national grid with renewable energy system based on AI and its critical role in fostering a sustainable future.