An SVM-Based Anomaly Detection Method for Power System Security Analysis Using Particle Swarm Optimization and t-SNE for High-Dimensional Data Classification

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Detalles Bibliográficos
Publicado en:	Processes vol. 13, no. 2 (2025), p. 549
Autor Principal:	Ye Tao
Outros autores:	Jiongcheng Yan, Niu, Enquan, Zhai, Pengming, Zhang, Shuolin
Publicado:	MDPI AG
Materias:	Skewness Accuracy Machine learning Particle swarm optimization Research methodology Swarm intelligence Deep learning Genetic algorithms Artificial intelligence Forecasting Algorithms Support vector machines Electricity distribution Optimization Electric power Multidimensional data Anomalies Multidimensional methods Parameters Embedding Electric power systems Statistical analysis
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