Machine-Learning-based Anomaly Detection System for Cyber-Physical Attack on a Solid-State Transformer
Year: 2024
Type: conference-paper
Institutions: Iowa State University, University of Illinois Chicago
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
Funder: U.S. Department of Energy
OpenAlex ID: W4408281247