Improving the accuracy of diagnostic predictions for power transformers by employing a hybrid approach combining SMOTE and DNN
In power transformers, accurate diagnosis prediction plays a crucial role in ensuring the
reliability and efficiency of electrical systems. This paper presents an enhanced diagnostic …
reliability and efficiency of electrical systems. This paper presents an enhanced diagnostic …
Advanced neural network and hybrid models for wind power forecasting: a comprehensive global review
M Sambane, B Mendu, BB Monchusi - Future Energy, 2024 - fupubco.com
Abstract Neural Network Algorithms (NNAs), modeled after the workings of biological
neurons, are increasingly utilized in areas like data mining and robotics to address complex …
neurons, are increasingly utilized in areas like data mining and robotics to address complex …
Profit maximization of a wind-integrated deregulated system using V2G techniques and TCSC placement
Profit maximization is crucial for both producers and customers in power grids, particularly in
deregulated energy markets. By focusing on profit maximization measures, power grids can …
deregulated energy markets. By focusing on profit maximization measures, power grids can …
[PDF][PDF] Numerical Study of the Effect of Long Shroud Diffuser with and without Plate Obstacle on the Performance of Savonius Wind Turbine
This study presents the three-dimensional (3-D) numerical analysis of the influence of the
plate obstacle installed at the entrance of the long flanged diffuser on the simple Savonius …
plate obstacle installed at the entrance of the long flanged diffuser on the simple Savonius …
[PDF][PDF] Numerical Analysis of Flow Fields for the Different Models of the Shrouded Savonius Rotor
In this study, the effect of three different lengths (short, medium, and long) of flanged
shrouded Savonius wind turbines is investigated three-dimensional (3-D) numerically by …
shrouded Savonius wind turbines is investigated three-dimensional (3-D) numerically by …