Application of supervised machine learning for prediction of probabilistic transient stability
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/1448837X.2021.2013418
Reference76 articles.
1. Probabilistic transient stability assessment for on-line applications
2. Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
3. Probabilistic transient stability studies using the method of bisection [power systems]
4. Transient stability assessment in longitudinal power systems using artificial neural networks
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Monitoring Transient Stability in Electric Power Systems Using a Hybrid Model of Convolutional Neural Network and Random Forest;Electric Power Components and Systems;2023-07-22
2. Prediction of probabilistic transient stability using support vector regression;Australian Journal of Electrical and Electronics Engineering;2022-08-13
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