[HTML][HTML] Ensemble learning methods using the Hodrick–Prescott filter for fault forecasting in insulators of the electrical power grids
Electrical power grid insulators installed outdoors are exposed to environmental conditions,
such as the accumulation of contaminants on their surface. The contaminants increase the …
such as the accumulation of contaminants on their surface. The contaminants increase the …
[HTML][HTML] Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models
To improve the monitoring of the electrical power grid, it is necessary to evaluate the
influence of contamination in relation to leakage current and its progression to a disruptive …
influence of contamination in relation to leakage current and its progression to a disruptive …
[HTML][HTML] Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction
Disruptive failures threaten the reliability of electric supply in power branches, often
indicated by the rise of leakage current in distribution insulators. This paper presents a …
indicated by the rise of leakage current in distribution insulators. This paper presents a …
Comparison of artificial intelligence techniques to failure prediction in contaminated insulators based on leakage current
A Medeiros, A Sartori, SF Stefenon… - Journal of Intelligent …, 2022 - content.iospress.com
Contamination in insulators results in an increase in surface conductivity. With higher
surface conductivity, insulators are more vulnerable to discharges that can damage them …
surface conductivity, insulators are more vulnerable to discharges that can damage them …
Hybrid wavelet stacking ensemble model for insulators contamination forecasting
Contaminated insulators can have higher surface conductivity, which can result in
irreversible failures in the electrical power system. In this paper, the ultrasound equipment is …
irreversible failures in the electrical power system. In this paper, the ultrasound equipment is …
Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
In hydroelectric plants, the responsibility for the operation of the reservoirs typically lies with
the national system operator, who controls the level of the reservoirs based on a stochastic …
the national system operator, who controls the level of the reservoirs based on a stochastic …
Analysis of the ultrasonic signal in polymeric contaminated insulators through ensemble learning methods
Outdoor insulators may experience stress due to severe environmental conditions, such as
pollution and contamination. Through the identification of partial discharges by ultrasonic …
pollution and contamination. Through the identification of partial discharges by ultrasonic …
[HTML][HTML] Electrical insulator fault forecasting based on a wavelet neuro-fuzzy system
S Frizzo Stefenon, R Zanetti Freire… - Energies, 2020 - mdpi.com
The surface contamination of electrical insulators can increase the electrical conductivity of
these components, which may lead to faults in the electrical power system. During …
these components, which may lead to faults in the electrical power system. During …
Wavelet group method of data handling for fault prediction in electrical power insulators
Electric power is increasingly being used in the globalized day-to-day and keeping the
electric power system running is necessary. Insulators are important components of the …
electric power system running is necessary. Insulators are important components of the …
Correlation and instance based feature selection for electricity load forecasting
Appropriate feature (variable) selection is crucial for accurate forecasting. In this paper we
consider the task of forecasting the future electricity load from a time series of previous …
consider the task of forecasting the future electricity load from a time series of previous …