 This paper provides a comprehensive review of AI-based solutions in the urban energy sector, focusing on their applications and impacts. The study analyzed recent research on AI's role in energy-related solutions from 2019 to 2023 and identified two key areas of AI implementation, residential and individual user applications, and urban infrastructure integration for society. The objectives of this review are to identify trends, emerging technologies, and applications using AI in the energy field, provide up-to-date insights into the use of AI in energy-related applications, gain a comprehensive understanding of the current state of AI-driven urban energy solutions, explore future directions, emerging trends, and challenges in the field of AI-driven energy solutions. The paper contributes to a deeper understanding of the transformative potential of AI in urban energy management by providing valuable insights and directions for researchers and practitioners in the field. AI is connected to energy at homes through heating and cooling, lighting, windows and blinds, home devices, and energy management systems. AI integrates into urban infrastructure through solutions such as enhancement of electric vehicle charging infrastructure, reduction in vehicle emissions, development of smart grids, and efficient energy storage. The latest challenges associated with the implementation of AI-driven energy solutions include balancing resident comfort with energy efficiency in smart homes, ensuring compatibility and cooperation among various devices, preventing unintended energy consumption increases due to constant connectivity, managing renewable energy sources, and coordinating energy consumption. This article was authored by King Dostecula, Radoslav Woliak, and Wislaw Wesgrebskiy. We are article.tv, links in the description below.