Abstract

Artificial Intelligence (AI) is transforming sustainable energy management by optimizing resource use and enhancing system efficiency. This abstract explores how AI technologies, including machine learning, data analytics, and predictive modeling, contribute to more effective management of renewable energy sources. AI systems can forecast energy demand, improve grid stability, and integrate diverse energy inputs seamlessly. Additionally, AI-driven solutions facilitate real-time monitoring and adaptive responses to energy fluctuations, reducing waste and enhancing the performance of renewable energy installations. By leveraging AI, we can accelerate the transition to sustainable energy systems, achieve greater energy efficiency, and support global efforts in combating climate change. This exploration highlights the profound impact of AI on the future of energy management and its role in promoting a cleaner, more sustainable energy landscape.