Adis Alihodžić Prof. dr.

Machine learning enhances smart grid anomaly detection with reduced features

Researchers have developed a machine learning approach to detect cyber-physical anomalies in smart grids, aiming to distinguish between physical faults and malicious cyber-attacks. The method utilizes genetic algorithms…