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L. Peretto

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Open access Sep 2026

Uncertainty-Aware Representation Learning for Power Quality Waveforms Using Convolutional Autoencoders

Power quality (PQ) monitoring relies on high-resolution waveforms that are inherently affected by measurement uncertainty. Conventional PQ indices provide compact descriptors but may fail to capture waveform morphology and transient behavior. This paper investigates an uncertainty-aware representation learning approach...

V. Negri, F. Bazzani, A. Mingotti et al. · 0 citations

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