Work

Anomaly Detection in Operational Technology Systems Using Non-Intrusive Load Monitoring Based on Supervised Learning

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Cyber Security and Resilience (CSR)

DOI: 10.1109/csr61664.2024.10679485

Authors: A. Schroeder, P. McClure, P. Thulasiraman

Institution: Naval Postgraduate School

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4402811828

FWCI: 4.118

Cites: 17

Cited by: 6

Related to: 10