Feature selection for transient stability assessment based on kernelized fuzzy rough sets and memetic algorithm
نویسندگان
چکیده
منابع مشابه
Feature Selection by Kernelized Fuzzy Rough Sets for Transient Stability Assessment Based on Gaussian Process
Feature selection of input features is the key issue for pattern recognition-based transient stability assessment (TSA) methods. Considering the possible real-time information provided by phasor measurement units, a group of system-level classification features are firstly extracted from the power system operation condition to construct the original feature set. Then kernelized fuzzy rough sets...
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ژورنال
عنوان ژورنال: International Journal of Electrical Power & Energy Systems
سال: 2015
ISSN: 0142-0615
DOI: 10.1016/j.ijepes.2014.07.070