RT journal article
T1 Categorization Method of Power Supply Quality Events Using Rule-Based Decision Trees, Combining Traditional Indices With Higher-Order Statistics
A1 Remigio Carmona, Paula
A1 Florencias Oliveros, Olivia
A1 González de la Rosa, Juan José
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
AB This letter presents a novel method for power quality event detection using higher-order statistical indicators and rule-baseddecision 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 robustcomplement to traditional visualization tools.
PB Wiley
SN 0013-5194, 1350-911X
YR 2025
FD 2025
LK http://hdl.handle.net/10498/36878
UL http://hdl.handle.net/10498/36878
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 09-may-2026