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Australian Journal of Electrical and Electronics Engineering Volume 19, 2022 - Issue 1
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Research Article

Application of supervised machine learning for prediction of probabilistic transient stability

Umair ShahzadDepartment of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2968-5026View further author information
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Pages 65-78 | Received 06 Aug 2021, Accepted 30 Oct 2021, Published online: 19 Dec 2021

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Hafsa Ahmad, Muhammad Yousif, Maliha Shah & Najeeb Ullah. (2023) Monitoring Transient Stability in Electric Power Systems Using a Hybrid Model of Convolutional Neural Network and Random Forest. Electric Power Components and Systems 0:0, pages 1-13.
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Umair Shahzad. (2023) Prediction of probabilistic transient stability using support vector regression. Australian Journal of Electrical and Electronics Engineering 20:1, pages 35-49.
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