AI's Function in Sustainable Development's Renewable Energy Planning

Abstract

The integration of artificial intelligence (AI) in the renewable energy sector has emerged as a disruptive force that has the potential to fundamentally alter the ways in which clean energy is produced, distributed, and used. Artificial intelligence (AI) technologies, such as machine learning, predictive analytics, optimization algorithms, and smart control systems, have enabled unprecedented improvements in renewable energy systems. These advancements include optimizing energy storage systems to increase grid dependability and stability as well as optimizing solar and wind turbine efficiency via the use of adaptive control and real-time data analysis. Artificial intelligence-driven predictive maintenance has decreased operational costs and downtime, extending the lifespan of renewable infrastructure. AI-powered energy management solutions encourage an energy-saving culture by giving consumers the ability to make informed decisions about how much energy they use.