The increasing demand for sustainable power and efficient energy utilization has accelerated the adoption of renewable energy systems. This project presents a Renewable Energy Smart Monitor with Source and Load Prediction using AI Models, designed to monitor renewable energy generation and intelligently manage connected loads. The system integrates a solar panel and a mini windmill model as renewable energy sources. ESP32-based monitoring unit with DC voltage and current sensors measures the power generated from both sources and stores the energy in batteries. The system also monitors the power consumed by different DC loads such as a motor, light, and fan by measuring their current consumption. All the real-time sensor data related to source generation and load consumption is transmitted to a laptop for further analysis.
Balaji et al. (Wed,) studied this question.