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 …
Ensemble learning for disease prediction: A review
Machine learning models are used to create and enhance various disease prediction
frameworks. Ensemble learning is a machine learning technique that combines multiple …
frameworks. Ensemble learning is a machine learning technique that combines multiple …
Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut
Hybrid energy investment projects help to increase the efficiency in renewable energy
production. This situation can be a solution to the high installation cost problem of the clean …
production. This situation can be a solution to the high installation cost problem of the clean …
Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
MHDM Ribeiro, RG da Silva, SR Moreno… - International Journal of …, 2022 - Elsevier
The use of wind energy plays a vital role in society owing to its economic and environmental
importance. Knowing the wind power generation within a specific time window is useful for …
importance. Knowing the wind power generation within a specific time window is useful for …
[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 …
Aggregating prophet and seasonal trend decomposition for time series forecasting of Italian electricity spot prices
The cost of electricity and gas has a direct influence on the everyday routines of people who
rely on these resources to keep their businesses running. However, the value of electricity is …
rely on these resources to keep their businesses running. However, the value of electricity is …
Wavelet LSTM for fault forecasting in electrical power grids
NW Branco, MSM Cavalca, SF Stefenon, VRQ Leithardt - Sensors, 2022 - mdpi.com
An electric power distribution utility is responsible for providing energy to consumers in a
continuous and stable way. Failures in the electrical power system reduce the reliability …
continuous and stable way. Failures in the electrical power system reduce the reliability …
Experimental validation of multi-stage optimal energy management for a smart microgrid system under forecasting uncertainties
S Gheouany, H Ouadi, F Giri, S El Bakali - Energy Conversion and …, 2023 - Elsevier
This paper proposes a Multi-stage Energy Management System (MS-EMS) for power
distribution in a smart microgrid comprising a photovoltaic system (PV), an Energy Storage …
distribution in a smart microgrid comprising a photovoltaic system (PV), an Energy Storage …
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 …
Spatial–temporal multi-feature fusion network for long short-term traffic prediction
Y Wang, Q Ren, J Li - Expert Systems with Applications, 2023 - Elsevier
Exploiting deep spatial–temporal features for traffic prediction has become growing
widespread. Accurate traffic prediction is still challenging due to the complex spatial …
widespread. Accurate traffic prediction is still challenging due to the complex spatial …