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AI Fault Detection in Smart Grids by Shahran Bappy is a document available to read on EtoBox.

What is AI Fault Detection in Smart Grids about?

The research article discusses the implementation of AI-driven fault detection and diagnosis (FDD) systems in smart grids to enhance power system reliability. It highlights the advantages of using machine learning and deep learning techniques for real-time fault identification and predictive maintenance, while also addressing challenges such as data privacy and cybersecurity. The study emphasizes the transformative potential of AI in improving grid resilience and operational efficiency, providing a roadmap

Author

Shahran Bappy

Language

EN