Smart Energy Management and Load Optimization in Electrical Systems Using IoT and Hybrid Renewable Sources

Abstract :

Smart energy management and load optimization aim to enhance efficiency and sustainability by dynamically regulating energy consumption and distribution. Internet of Things (IoT) devices enable the collection of real-time data on energy usage, environmental conditions, and system performance. This information is utilized to optimize energy flow from hybrid renewable sources—such as solar and wind— alongside traditional power grids. IoT-based control systems facilitate real-time load adjustments, thereby reducing energy waste and dependence on non-renewable resources. Predictive analytics are employed to forecast renewable energy (RE) generation, enabling proactive load balancing. Integrating IoT with hybrid RE sources enhances operational efficiency, lowers energy costs, and accelerates the transition to sustainable energy systems. This approach is adaptable across residential, commercial, and industrial applications, contributing to a cleaner, more reliable, and future-ready energy infrastructure.