Energy-based Kinetic Energy Features for Online Dynamic Security Assessment using Bayes by Backprop Machine Learning Algorithm-Reference-Cited by-同舟云学术

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Energy-based Kinetic Energy Features for Online Dynamic Security Assessment using Bayes by Backprop Machine Learning Algorithm

Published:2022-07-04 Issue: Volume: Page:
ISSN:
Container-title:2022 1st International Conference on Sustainable Technology for Power and Energy Systems (STPES)
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Author:

Naramu Avinash¹,Chandel Ashwani Kumar¹

Affiliation:

1. NIT Hamirpur,Electrical engineering department,Himachal Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10006416/10006417/10006533.pdf?arnumber=10006533

Reference24 articles.

1. Robust Online Dynamic Security Assessment Using Adaptive Ensemble Decision-Tree Learning

2. From Optimization-Based Machine Learning to Interpretable Security Rules for Operation

3. A Novel Implementation for Generator Rotor Angle Stability Prediction Using an Adaptive Artificial Neural Network Application for Dynamic Security Assessment

4. Online dynamic security assessment with missing pmu measurements: A data mining approach

5. Robust Ensemble Data Analytics for Incomplete PMU Measurements-Based Power System Stability Assessment

Cited by 1 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. Machine Learning Based Method for Transient Stability Assessment of Power Systems;2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA);2023-01-29

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