Published Paper Details:

The integration of real-time weather data enhances the efficiency and adaptability of renewable energy solutions. This project focuses on leveraging an Arduino UNO-based weather monitoring system to collect and analyze environmental data, enabling intelligent solar system adjustments. The weather monitoring system utilizes sensors to measure parameters such as temperature, humidity, light intensity, and wind speed. Data is continuously collected and processed in real-time to optimize the performance of solar panels, including dynamic adjustments to their orientation or energy output regulation. The Arduino UNO serves as the central controller for the weather monitoring subsystem, interfacing with sensors like the DHT11 (temperature and humidity), LDR (light intensity), and anemometers (wind speed). The collected data is displayed on an LCD screen and transmitted to a central system for further processing. The integration enables predictive decision-making, such as tilting solar panels to maximize energy absorption during peak sunlight or safeguarding them during adverse weather conditions. This project highlights the critical role of real-time weather data in improving solar energy systems' adaptability and efficiency. The Arduino UNO-based solution provides a cost-effective, scalable, and accurate approach for monitoring environmental factors, ensuring sustainable energy utilization and resilience to changing weather conditions.