This project proposes an IoT and AI-based smart energy management system to enhance performance prediction, ensure reliable power output, and promote economic utilization of solar resources. The SMA Power Plant Manager manages all energy flows in PV or hybrid power. Real-time data ensures refined and all-inclusive control of the power plant, covering the entire system, sub-arrays, equipment, and modules, leading to enhanced management efficiency. Faulty modules are highlighted in red for quick identification. Our energy management is designed to increase self-consumption and reduce peak loads – automatically and reliably. By integrating IoT sensors, cloud computing, and AI algorithms, the system enables real-time monitoring. To enhance solar power utilization, Internet of Things enabled solar monitoring systems have been proposed for real-time data acquisition and analytics, facilitating performance forecasting and ensuring consistent power output. The power management system includes solar panels, generators of solar energy, battery accumulators, a hybrid UPS inverter, power locking units, a battery charger, an.
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