@misc{10498/36878,
year = {2025},
url = {http://hdl.handle.net/10498/36878},
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.},
publisher = {Wiley},
title = {Categorization Method of Power Supply Quality Events Using Rule-Based Decision Trees, Combining Traditional Indices With Higher-Order Statistics},
doi = {https://doi.org/10.1049/ell2.70189},
author = {Remigio Carmona, Paula and Florencias Oliveros, Olivia and González de la Rosa, Juan José},
}