Feature Reduction for Power System Transient Stability Assessment Based on Neighborhood Rough Set and Discernibility Matrix

In machine learning-based transient stability assessment (TSA) problems, the characteristics of the selected features have a significant impact on the performance of classifiers. Due to the high dimensionality of TSA problems, redundancies usually exist in the original feature space, which will dete...

Full description

Bibliographic Details
Main Authors: Bingyang Li, Jianmei Xiao, Xihuai Wang
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/1/185