This article examines the application of artificial intelligence technologies for optimizing energy consumption in smart residential complexes. The study analyzes contemporary approaches to implementing machine learning algorithms, neural networks, and predictive analytics for managing energy resources in multi-apartment buildings. The research demonstrates that AI-driven systems can reduce energy consumption by 25-40% compared to traditional management methods. The article presents a comprehens