The importance of the research on insulator pollution has been increased considerably with
the rise of the voltage of transmission lines. In order to determine the flashover behavior of …

This paper reports an investigation into the leakage current harmonic components of 45
units of glass insulator samples. The insulator units comprise 5 groups of insulators: new …

This work attempts to apply an artificial neural network in order to estimate the critical
flashover voltage on polluted insulators. The artificial neural network uses as input variables …

Objective of this paper is the development of a methodological approach for estimating the
ground resistance by using Artificial Neural Network. The value of the ground resistance …

To describe an artificial neural network (ANN) methodology in order to estimate the critical
flashover voltage on polluted insulators is the objective here. The methodology uses as …

The environmental and weather conditions cause flashover on polluted insulators leading to
outages in a power system. It is generally recognized that the main causes leading to the …

This paper presents the analysis of leakage current evolution of an ice-covered station post
insulator during a melting period using artificial neural network (ANN) models. The tests …

Breathomics is the metabolomics study of exhaled air. It is a powerful emerging
metabolomics research field that mainly focuses on health-related volatile organic …

The demand in electric power should be predicted with the highest possible accuracy as it
affects decisively many of power system's operations. Conventional methods for load …

This work attempts to clarify the potentials of hybrid model based on least‐squares support
vector machine (LS‐SVM) and a novel meta‐heuristic algorithm called Grey Wolf optimiser …