We consider the problem of positive and zero sequence parameter estimation of a transmission line using PMU data. Calculation of zero sequence parameters requires sufficient unbalance in the system.

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This paper presents a robust exploration of the capabilities of conditional Generative Adversarial Networks (GANs) in harnessing labeled data to produce high-quality labels for unlabeled samples. By ...