Intelligent FaultEdge: AI-Driven Fault-Tolerant Edge Framework for Smart Grid Monitoring in IoT

Smart grid monitoring in IoT environments demands robust fault tolerance mechanisms to ensure uninterrupted operation and data accuracy. The integration of advanced machine learning with fault-tolerant strategies in the proposed Intelligent FaultEdge framework represents a significant innovation. Unlike traditional reactive systems, Intelligent FaultEdge adopts a proactive approach, leveraging predictive analytics, anomaly detection, and adaptive reconfiguration to anticipate and manage potential faults in real-time. This proactive framework not only enhances the reliability and resilience of smart grid operations but also minimizes downtime, improves safety, and optimizes energy efficiency. By continuously monitoring grid conditions and dynamically adjusting to evolving scenarios, Intelligent FaultEdge supports sustainable and secure smart grid management. This paper presents a comprehensive framework aligned with the goals of modern intelligent systems, offering an efficient solution for enhancing the reliability and performance of IoT-enabled smart grids. Through its proactive fault management capabilities, Intelligent FaultEdge contributes to advancing smart infrastructure, ensuring dependable energy supply, and supporting the evolution towards more resilient and efficient smart grids.