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Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms

Engineering and Technology

Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms

M. A. Khan, B. Asad, et al.

This innovative research presents a groundbreaking strategy for fault classification and localization in power transmission networks by leveraging variational autoencoders to synthesize fault data. Conducted by Muhammad Amir Khan and colleagues, the study achieves an impressive 99% accuracy in fault classification and a mean absolute error of just 0.2 in fault localization, outpacing existing methods.

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