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@article{166017,
        author = {Christy Mathew and I. Jeya Kumar and M. Babu},
        title = {IOT Based Renewable Energy by Solar Tracking System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {1},
        pages = {2529-2535},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166017},
        abstract = {The study introduces a groundbreaking strategy to boost the effectiveness of solar power plants by integrating a horizontal, single-axis solar tracking system, marking a significant advancement in renewable energy. This innovative approach employs IoT technology to meticulously monitor critical parameters like voltage, wattage, current, and solar irradiance. It incorporates a light-dependent resistor (LDR) to precisely detect peak solar power levels. Data from a network of sensors and an ESP32 controller are systematically processed and transmitted to cloud-based platforms for thorough analysis. The ESP32 controller plays a vital role by managing solar panel positioning via a servo motor, utilizing advanced algorithms to optimize energy capture. This dynamic system adjusts panel orientation to match changing solar conditions, ensuring maximum efficiency throughout the day. Moreover, it detects anomalies, such as panel malfunctions or contamination, early, enhancing operational reliability. Overall, this integrated solution marks a new era in solar power generation, promising sustained enhancements in economic viability and operational efficiency. By seamlessly integrating advanced monitoring and control mechanisms, it sets a benchmark for future advancements in renewable energy infrastructure.},
        keywords = {ESP32, LDR, Servo Motor, Blynk IoT},
        month = {July},
        }