Abstract: The increasing demand for renewable energy necessitates efficient monitoring of solar panel performance. This paper presents an IoT-based solar panel monitoring system using ESP-32 and Blynk to enable real-time data collection and remote monitoring. The system integrates voltage, current, temperature, and humidity sensors to assess the panel’s efficiency. The ESP-32 microcontroller processes sensor data and transmits it to the Blynk cloud, allowing users to monitor power generation through a mobile application. A liquid crystal display (LCD) provides live readings, while WiFi connectivity ensures seamless data transmission. This system enhances energy management by enabling predictive maintenance, early fault detection, and improved efficiency analysis. The proposed solution offers a cost-effective, scalable, and user-friendly approach to solar energy monitoring, contributing to the advancement of smart renewable energy systems. Future work may include automated load balancing, machine learning-based performance optimization, and integration with grid systems to maximize solar energy utilization
Keywords: IoT-based monitoring, ESP-32, Blynk cloud, solar panel efficiency, renewable energy, real-time data transmission, smart energy management, wireless sensor network.
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