A Hierarchical Method for Transient Stability Prediction of Power Systems Using the Confidence of a SVM-Based Ensemble Classifier

A Hierarchical Method for Transient Stability Prediction of Power Systems Using the Confidence of a SVM-Based Ensemble Classifier

Machine learning techniques have been widely used in transient stability prediction of power systems. When using the post-fault dynamic responses, it is difficult to draw a definite conclusion about how long the duration of response data used should be in order to balance the accuracy and speed. Bes...

Full description

Bibliographic Details
Main Authors: Yanzhen Zhou, Junyong Wu, Zhihong Yu, Luyu Ji, Liangliang Hao
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Energies
Subjects:
transient stability prediction
support vector machine (SVM)
ensemble classifier
machine learning
confidence level
hierarchical method
power systems
Online Access:http://www.mdpi.com/1996-1073/9/10/778

Internet

http://www.mdpi.com/1996-1073/9/10/778

Similar Items