XGBoost-Based Algorithm Interpretation and Application on Post-Fault Transient Stability Status Prediction of Power System

XGBoost-Based Algorithm Interpretation and Application on Post-Fault Transient Stability Status Prediction of Power System

The artificial intelligence (AI) techniques have been widely used in the transient stability analysis of a power system. They are recognized as the most promising approaches for predicting the post-fault transient stability status with the use of phasor measurement units data. However, the popular A...

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Bibliographic Details
Main Authors: Minghua Chen, Qunying Liu, Shuheng Chen, Yicen Liu, Chang-Hua Zhang, Ruihua Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Feature importance scores
model interpretation
XGBoost model
transient stability prediction
Online Access:https://ieeexplore.ieee.org/document/8620201/

Internet

https://ieeexplore.ieee.org/document/8620201/

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