Study on Icing Prediction of Power Transmission Lines Based on Ensemble Empirical Mode Decomposition and Feature Selection Optimized Extreme Learning Machine

Study on Icing Prediction of Power Transmission Lines Based on Ensemble Empirical Mode Decomposition and Feature Selection Optimized Extreme Learning Machine

The ice coating on the transmission line is extremely destructive to the safe operation of the power grid. Under natural conditions, the thickness of ice coating on the transmission line shows a nonlinear growth trend and many influencing factors increase the difficulty of forecasting. Therefore, a...

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Bibliographic Details
Main Authors: Weijun Wang, Dan Zhao, Liguo Fan, Yulong Jia
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Energies
Subjects:
icing thickness
extreme learning machine
ensemble empirical mode decomposition
chaotic grey wolf optimization
random forest
feature selection
Online Access:https://www.mdpi.com/1996-1073/12/11/2163

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https://www.mdpi.com/1996-1073/12/11/2163

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