Harmonics and waveform distortion is a significant power quality problem in modern power
systems with high penetration of Renewable Energy Sources (RES). This problem has …

To control information exchange in the digital substation, it is possible to use machine
learning methods, the artificial neural networks (ANN), in particular. The ANN training, as a …

This paper presents a method to detect the order of harmonic in distribution power system
using wavelet transform and support vector machine. First, a wavelet transform has been …

The objective of this research is to introduce a neural network based solution for the problem
of measuring the actual amount of harmonic current injected into a power network by an …

The research is devoted to the use of artificial neural networks (ANN) for signal processing.
The features of the simplest feed forward neural networks (multilayer perceptrons, MLP) …

Работа посвящена использованию аппарата искусственных нейронных сетей для
обработки сигналов в электротехнике и электроэнергетике. Нейронная сеть прямого …

Neural networks have been known to be good function approximators. They are particularly
effective in dealing with non-linear relationships between parameters. This feature is …

This paper proposes a neural network solution methodology for the problem of measuring
the actual amount of harmonic current injected into a power network by a non-linear load …

Цель исследования–для обработки электротехнических сигналов проанализировать
некоторые возможности использования аппарата искусственных нейронных сетей …

This paper presents a classification method for power quality problems in electrical power
systems. To improve the electric power quality, sources of disturbances must be known and …