A Data Segmentation-Based Ensemble Classification Method for Power System Transient Stability Status Prediction with Imbalanced Data

A Data Segmentation-Based Ensemble Classification Method for Power System Transient Stability Status Prediction with Imbalanced Data

In recent years, machine learning methods have shown the great potential for real-time transient stability status prediction (TSSP) application. However, most existing studies overlook the imbalanced data problem in TSSP. To address this issue, a novel data segmentation-based ensemble classification...

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Bibliographic Details
Main Authors: Zhen Chen, Xiaoyan Han, Chengwei Fan, Zirun He, Xueneng Su, Shengwei Mei
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Applied Sciences
Subjects:
imbalanced data
data segmentation
ensemble classification
transient stability status
Online Access:https://www.mdpi.com/2076-3417/9/20/4216

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https://www.mdpi.com/2076-3417/9/20/4216

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