ABSTRACT
By increasing energy efficiency, combining artificial intelligence (AI) and the Internet of Things (IoT) technologies might entirely transform the operation of sustainable infrastructure. The development and use of AI-powered IoT systems aimed to maximize energy in many infrastructure environments including transportation, urban planning, and buildings are discussed in this study. By gathering data in real time and using sophisticated analytics, these systems assist in energy regulation that varies with the hours and user behavior. Our primary emphasis is on artificial intelligence projects that can predict consumer energy needs and then modify supply to fit those requirements, hence reducing waste and expenses. Case studies of smart buildings illustrate how IoT devices and artificial intelligence prediction models may significantly lower energy usage by making heating, ventilation, and air conditioning (HVAC) systems run better based on expected weather and population. In the same manner, by utilizing real-time data to improve route planning and traffic signs, AI-enhanced traffic management systems in the transportation sector cut fuel usage and pollution. This study also covers the issues associated with deploying these technologies, including data protection, ensuring that many systems can cooperate and the need for robust security measures to safeguard personal data. It discusses how to handle these issues with an emphasis on the need for public and private sectors to cooperate and implement well-defined policies.
