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

dc.contributor.author	Remigio Carmona, Paula
dc.contributor.author	Florencias Oliveros, Olivia
dc.contributor.author	González de la Rosa, Juan José
dc.contributor.other	Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores	es_ES
dc.date.accessioned	2025-07-24T10:15:01Z
dc.date.available	2025-07-24T10:15:01Z
dc.date.issued	2025
dc.identifier.issn	0013-5194, 1350-911X
dc.identifier.uri	http://hdl.handle.net/10498/36878
dc.description.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.	es_ES
dc.format	application/pdf	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Wiley	es_ES
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.source	Electronics Letters - 2025, Vol. 61 n.1	es_ES
dc.title	Categorization Method of Power Supply Quality Events Using Rule-Based Decision Trees, Combining Traditional Indices With Higher-Order Statistics	es_ES
dc.type	journal article	es_ES
dc.rights.accessRights	open access	es_ES
dc.identifier.doi	https://doi.org/10.1049/ell2.70189
dc.type.hasVersion	VoR	es_ES

This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional