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Abstract: This paper addresses the challenge of accurately measuring electrical parameters in power systems under complex conditions, such as non-sinusoidal waveforms and frequency fluctuations, by ...

Abstract: Out-of-distribution (OOD) detection is crucial for machine learning models deployed in open-world environments. However, existing methods often struggle with model over-confidence or rely ...