THE ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING THE ECONOMIC EFFICIENCY OF RENEWABLE ENERGY SOURCES

Abstract

This article discusses the role of artificial intelligence (AI) in improving the economic efficiency of renewable energy sources (RES). The relevance of the topic is due to the growing demand for energy and the need to reduce greenhouse gas emissions. Research shows that AI can significantly improve the operation of RES by optimizing production processes, increasing the reliability of equipment and efficiently managing distributed energy systems. The use of AI also helps to reduce the costs of energy production and distribution, which makes RES more attractive to investors. The article analyzes the methods of applying AI, including machine learning, predictive algorithms and smart grid management. The main findings highlight the need for further research and investment in AI technologies to fully unlock the potential of renewable energy and accelerate the transition to clean energy.