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@article{173592,
        author = {Nihar K. Patel and Kundan M. Patel and Twinkal A. Patel},
        title = {Advancing Real-Time Embedded Systems for Optimized IoT-Based Smart Grid Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {876-878},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173592},
        abstract = {This paper presents a novel approach to the design and implementation of real-time embedded systems in IoT-driven smart grids, focusing on cutting-edge technologies such as AI-based anomaly detection, microgrid integration, and dynamic load balancing using blockchain for decentralized energy transactions. The research introduces an advanced real-time control system architecture that leverages 5G for ultra-low latency communication, enabling seamless integration of edge computing to reduce operational delays and enhance decision-making in critical grid infrastructure.},
        keywords = {},
        month = {March},
        }