Categorization Method of Power Supply Quality Events Using Rule-Based Decision Trees, Combining Traditional Indices With Higher-Order Statistics

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URI: http://hdl.handle.net/10498/36878

DOI: https://doi.org/10.1049/ell2.70189

ISSN: 0013-5194, 1350-911X

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Author/s
Remigio Carmona, PaulaAuthority UCA; Florencias Oliveros, OliviaAuthority UCA; González de la Rosa, Juan JoséAuthority UCA
Date
2025
Department
Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores
Source
Electronics Letters - 2025, Vol. 61 n.1
Abstract
This letter presents a novel method for power quality event detection using higher-order statistical indicators and rule-based decision trees. The method achieves up to 90% efficiency in the most challenging cases and excels in hybrid event classification, increasingly common in modern grids. Its simplicity enables fast execution and real-time applicability, making it a robust complement to traditional visualization tools.
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional