文章基本信息

标题：New Classifier Design for Static Security Evaluation Using Artificial In-telligence Techniques
其他标题：New Classifier Design for Static Security Evaluation Using Artificial In-telligence Techniques
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作者：Ibrahim Saeh ; Wazir Mustafa ; Nasir Al-geelani 等
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2016
卷号：6
期号：2
页码：870-876
DOI：10.11591/ijece.v6i2.pp870-876
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：This paper proposes evaluation and classification classifier for static security evaluation (SSE) and classifica-tion. Data are generated on (30, 57, 118 and 300) bus IEEE test systems used to design the classifiers. The implementation decision tree methods on several IEEE test systems involved appropriateness SSE and classi-fication by using four algorithms of DT’s. Empirically, with the present of FSA, the implementation results indicate that these classifiers have the capability for system security evaluation and classification. Lastly, FSA is efficient and effective approach for real-time evaluation and classification classifier design.
其他摘要：This paper proposes evaluation and classification classifier for static security evaluation (SSE) and classifica-tion. Data are generated on (30, 57, 118 and 300) bus IEEE test systems used to design the classifiers. The implementation decision tree methods on several IEEE test systems involved appropriateness SSE and classi-fication by using four algorithms of DT’s. Empirically, with the present of FSA, the implementation results indicate that these classifiers have the capability for system security evaluation and classification. Lastly, FSA is efficient and effective approach for real-time evaluation and classification classifier design.
关键词：Electrical (Power); Artificial Intelligence;Feature Selection; Classifier design; Static Security Evaluation; Classification; Artificial Intelligence