Real-time power system dynamic security assessment based on advanced feature selection for decision tree classifiers
This paper proposed a novel algorithm based on advanced feature selection technique for decision tree (DT) classifier to assess the dynamic security in power system. The proposed methodology utilized symmetrical uncertainty (SU) to reduce the data redundancy in a dataset for DT classifier based dyna...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The Scientific and Technological Research Council of Turkey
2017
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/3958/1/AJ%202017%20%28546%29.pdf |