There is a strong link between sustainable development goals and the transformation of smart grid technologies in urban areas. Digitization significantly influences the development of information systems in smart cities, enabling real-time monitoring of key processes and informed decision-making based on defined indicators. Blockchain and artificial intelligence are increasingly recognized for improving urban infrastructure efficiency, with big data processing algorithms playing a critical role in advancing energy systems. This study aims to explore the integration of blockchain and artificial intelligence in decentralized smart energy management, focusing on optimizing energy distribution, enhancing system security, and improving efficiency in smart grid technologies. The research examines a smart grid architecture model, emphasizing the role of AI-driven adaptive algorithms and blockchain-based transparent transactions in urban energy systems. Innovative digital technologies like AI and blockchain are essential for achieving a zero-carbon footprint and promoting environmental sustainability. A smart grid architecture model highlights the crucial interconnection between energy system components in enhancing urban energy efficiency. At the city level, energy management ensures process optimization and risk mitigation. Blockchain contributes by securing transparent and reliable transactions, while AI enhances energy efficiency and addresses consumer demands with flexible, adaptive algorithms. Continuous testing and optimization of these algorithms are crucial, as advancements in big data processing drive smart cities toward new levels of energy efficiency and sustainability.