Enhanced complete ensemble EMD with superior noise handling capabilities: A robust signal decomposition method for power systems analysis
Manuel Soto Calvo,
Han Soo Lee
Abstract:Signal decomposition is crucial in several domains, particularly in the dissection of complex signals present in electrical power systems. Understanding the oscillations and patterns within these signals can significantly influence energy resource management, grid stability, and efficient system operation. This paper presents an advanced enhanced decomposition method based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) to mitigate the inherent drawbacks of the conventional CEEM… Show more
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