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Advancing Real-Time Embedded Systems for Optimized IoT-Based Smart Grid Management

  • Unique Paper ID: 173592
  • Volume: 11
  • Issue: 10
  • PageNo: 876-878
  • 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.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 876-878

Advancing Real-Time Embedded Systems for Optimized IoT-Based Smart Grid Management

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Journal no 47859

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