Transient Stability Assessment of Power Systems Based on Semi-Supervised Active Learning
Author:
Affiliation:
1. Huazhong University of Science and Technology,State Key Laboratory of Advanced Electromagnetic Engineering and Technology,Wuhan,China
2. State Grid Hubei Electric Power Co., Ltd,Electric Power Research Institute,Wuhan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10113858/10114069/10114094.pdf?arnumber=10114094
Reference21 articles.
1. Multi-support vector machine power system transient stability assessment based on relief algorithm
2. Support Vector Machine-Based Algorithm for Post-Fault Transient Stability Status Prediction Using Synchronized Measurements
3. Deep Belief Network Enabled Surrogate Modeling for Fast Preventive Control of Power System Transient Stability
4. Improved Deep Belief Network and Model Interpretation Method for Power System Transient Stability Assessment
5. Power system online stability assessment using active learning and synchrophasor data
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1. Proactive Semi-Supervised Machine Learning Method for Stability Estimation in Smart Grids;2024 19th Annual System of Systems Engineering Conference (SoSE);2024-06-23
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