Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...
This project implements a security-focused anomaly detection system using machine learning to identify unusual patterns in structured data. The system is designed with enterprise-grade practices ...
Distribution shows high variability across feeders, with mean SAIDI of 378 minutes and median of 58 minutes, indicating significant right-skew from poor performers. Gap analysis vs 25th percentile ...
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