عنوان	Surviving Most Relevant Features on Transient Trajectories Data by Dyadic 24-Way Hybrid Feature Selection Algorithm for Transient Stability Prediction
نوع پژوهش	مقاله‌ی منتشر شده در نشریه
کلیدواژه‌ها	Hybrid feature selection scheme, most relevant transient point features, transient stability assessment.
چکیده	Designing an effective feature selection scheme (FSS) is an inevitable solution for top-level balancing contrastive-correlated indices, namely transient processing time (TPT) and transient prediction accuracy (TPA) on transient stability assessment (TSA). Achieving low TPT and high TPA have a tight relationship in selecting the most relevant transient point features (MRTPFs) survived by applying comprehensive FSS on m -variate transient trajectory features ( m VTTFs). Hence, we introduce dyadic 24-way hybrid FSS (D24WHFSS) to select MRTPFs from m VTTFs. The D24WHFSS comprises 24 permutations of the chained four-stage hybrid structure called 24-way hybrid FSS (24WHFSS). The 24WHFSS raised by bi-incremental wrapper mechanism (bi-IWM) contains incremental wrapper subset selection (IWSS) and IWSS with replacement (IWSSr). Each hybrid scenario is equipped with symmetric uncertainty (SU) (filter phase) and dual support vector-based classifiers (DSVCs) (wrapper phase). Embedded DSVCs into IWSS/ IWSSr include kernel support vector machine ( k SVM) and k -twin SVM ( k TWSVM). By plugging dual kernel function pairs (DKFPs) into DSVCs, 24-way SU bi-IWM DSVCs is exerted in the varied twofold repetition (dyadic 24WHFSS). In the first KFP (KFP1), the radial basis function (RBF) is situated in the DSVCs of bi-IWM. In KFP2, the dynamic time warping (DTW) and polynomial (Poly) kernels are used in 24-way SU bi-IWM DSVCs that the DTW and Poly kernels plugged into SU IWSS kSVM/SU IWSSr kSVM and SU IWSS kTWSVM/SU IWSSr kTWSVM , respectively. Finally, the efficacy of D24WHFSS-based MRTPFs in TSA is evaluated via cross-validation. The results show that D24WHFSS has a TPA of 99.25 % and a TPT of 102.607 milliseconds for TSA.
پژوهشگران	سید علیرضا بشیری موسوی (نفر اول)