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What is Improved CKF Algorithm for Anomaly Detection about?

This research article presents an improved algorithm for forecasting-aided state estimation and anomaly detection using the cubature Kalman filter (CKF). The proposed method enhances the accuracy of CKF-based estimators in various operational scenarios, including sudden load changes and faults, and introduces a novel anomaly detection algorithm that outperforms existing methods. Extensive simulations demonstrate the effectiveness of the new approach compared to traditional forecasting-aided state estimators

Author

Varikunta Saikrishna ee22d032

Language

EN