The rapid growth of population, industrialization, and urbanization has led to a continuous increase in global energy demand, creating serious challenges related to energy availability, cost, efficiency, and environmental sustainability. Traditional energy management systems are often inefficient, manual, and reactive in nature, leading to energy wastage, poor resource utilization, and high operational costs. In this context, the integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies offers a powerful and intelligent solution for building Smart Energy Management Systems (SEMS). These advanced systems enable real-time monitoring, automated control, intelligent decision-making, and optimized energy usage across residential, commercial, and industrial environments. IoT devices continuously monitor parameters such as electricity consumption, voltage levels, equipment performance, environmental conditions, and user behavior. This data is transmitted to centralized systems or cloud platforms, where it is stored and processed for further analysis. Based on these insights, AI systems can make intelligent decisions such as load balancing, peak demand management, energy optimization, and automated energy distribution. A Smart Energy Management System using AI and IoT enables automated control of electrical appliances, lighting systems, heating and cooling systems, and industrial machinery. These systems can automatically switch devices on or off, regulate power supply, and optimize energy usage based on real-time demand and user preferences
Logeswari et al. (Thu,) studied this question.