Higher-order statistics demonstrate their innovative features to characterize power quality
events, beyond the traditional and limited Gaussian perspective, integrating time-frequency …

In this paper a smart automatic classification of PQ transients is performed attending to their
amplitudes and frequencies, and the extreme of higher-order cumulants. Feature extraction …

In this paper a smart automatic classification of PQ transients is performed attending to their
amplitudes and frequencies, and the extreme of higher-order cumulants. Feature extraction …

Power quality (PQ) event detection and classification is gaining importance due to
worldwide use of delicate electronic devices. Things like lightning, large switching loads …

This work renders the classification of Power Quality (PQ) disturbances using fourth-order
sliding cumulants' maxima as the key feature. These estimators are calculated over high …

This paper introduces the challenges tackled by power quality monitoring systems in their
process of adaptation to the modern power grid (smart grid). The focus is placed on the need …

Penetration of renewable energies has changed the way of managing energy and
monitoring the quality of the power supply. New types of disturbances have appeared …

Power quality (PQ) has received the attention of several research groups due to the impact
of PQ disturbances (PQD) and how they affect the operation of the electrical equipment …

The basic requirement for a Power Quality (PQ) monitoring system is the automatic detection
of the PQ disturbances. Furthermore, the monitoring system should be capable of …

This work compares seven regression algorithms implemented in artificial neural networks
(ANNs) supported by 14 power-quality features, which are based in higher-order statistics …