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@article{201982,
        author = {SAUD SIKANDAR TAMBOLI and PRAJYOT SHARAD PATIL and Prof.Suraj S.Shinde},
        title = {Intelligent IoT Platform for Performance Evaluation of Solar–Wind Hybrid System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {7446-7452},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201982},
        abstract = {The growing demand for clean and sustainable energy has accelerated the adoption of solar–wind hybrid systems. However, their performance is significantly influenced by varying environmental conditions. This paper presents an Intelligent IoT-based platform that integrates ESP32 microcontrollers, smart sensors, cloud communication, and data analytics to continuously monitor and evaluate the performance of solar–wind hybrid energy systems. The system acquires real-time data on voltage, current, temperature, and humidity from both solar panels and wind turbines, processes it at the edge, and transmits it to an IoT cloud platform for visualization, predictive maintenance, and energy forecasting. Experimental results demonstrate that the proposed system enhances operational reliability, minimizes downtime, and improves overall energy efficiency. The paper covers hardware design, firmware implementation, IoT connectivity, and performance analytics.},
        keywords = {Edge Computing, ESP32, Hybrid Renewable Energy, IoT Monitoring, Performance Evaluation, Predictive Maintenance, Solar–Wind System.},
        month = {May},
        }