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...