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@article{204549,
        author = {Mridhula M and Akshay J and Anjana S and Abhishikth M J Kumar and Pravitha V Devan},
        title = {Comprehensive A IoT Model Enhancement for Sustainable Energy Farm Maintenance Forecasting},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {254-261},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204549},
        abstract = {In the study, an Artificial Intelligence of Things (AloT) model is developed that ensures the sustainability of energy farms, including solar energy and wind energy. The model combines IoT sensors with AI, allowing real-time monitoring of the equipment as well as the environment. The model, through the help of machine learning, is able to predict equipment failure, identify performance degradation, as well as suggest maintenance schedules, thus ensuring the sustainability of renewable energy operations through the help of cloud and edge computing technologies.},
        keywords = {A IoT- Artificial intelligence of Things, IoT-Internet of Things, Machine Learning, Renewable Energy Systems, Sustainable Energy Farms},
        month = {June},
        }