A smart monitoring system capable of detecting and classifying the health conditions of MV
(Medium Voltage) underground cables is presented in this work. Using the analysis …

In this paper a classification system based on a complex-valued neural network is used to
evaluate the health state of joints in high voltage overhead transmission lines. The aim of …

The technique proposed in this work is finalized to the non-intrusive monitoring of high
voltage electrical networks. In order to develop a prognostic method capable of avoiding …

In this paper a new method is developed and described, aimed at the modeling and
diagnosis of the joints connecting the ends of two cables on a high voltage electricity pylon …

This paper shows some application examples of machine learning techniques in the
monitoring of electricity distribution services. In particular, the application of neural network …

In this paper an original approach and a theoretical method, based on techniques of
Frequency Response Analysis (FRA), soft computing and machine learning, are described …

Background: In this work, some application examples of machine learning and deep
learning techniques in the monitoring of electricity distribution services and infrastructures …

Power systems are rapidly becoming populated by Phasor Meaurement Units (PMU).
Compared to conventional one (SCADA), PMU has synchrophasor technology and it …

This thesis presents a load flow analysis for the distribution system considering
uncertainties. Distribution system operation is affected by different uncertainties, such as the …

Los algoritmos de estimación de estado convencionales se basan en la suposición de que
los parámetros de las líneas (resistencia, reactancia, tomas de los transformadores, etc.) y el …