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Sandra Corasaniti

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Open access Jul 2026

Artificial intelligence-based efficient model for the detection of non-technical losses in smart grids

A novel transformer-based wide and deep convolutional neural network (TWiDeCNN) is proposed to efficiently identify electric energy theft in a scenario based on SGs, demonstrating its stability and effectiveness for electric energy theft detection.

Hassan Ali Khan, Zahid Wadud, Ghulam Hafeez et al. · 0 citations

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