A smart city emerges through the integration of Artificial Intelligence (AI) and the Internet of Things (IoT), allowing data collection from individuals, devices, and buildings. This data is then analyzed to optimize various aspects of urban life, including infrastructure, traffic, and energy management. Smart cities are built on a foundation of Information and Communication Technologies (ICT) and Cloud integration, facilitating seamless interactions. The implementation of smart energy infrastructure within a city to monitor energy consumption, reduce costs, and minimize carbon emissions. The growing emphasis on renewable energy sources underscores the importance of environmental and public health preservation. The abundance of renewable energy sources presents an opportunity to meet the increasing demand for clean, affordable energy while addressing concerns related to cost and climate. AI has ushered in a new era of technological innovation and sustainable development. In this chapter, we explore the application of AI in renewable energy research within smart urban environments. Additionally, we conduct an analytical study that leverages AI and IoT technologies for effective smart energy management in cities. Our primary objective is to assess the efficiency of machine learning and IoT techniques in this context, addressing the dual concerns of sustainability and technological advancement.