Asefi, S., Mitrovic, M., Cetenovic, D., Levi, V., Gryazina, E., Terzija, V.

compact view print

Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods

author

Asefi, Sajjad

Mitrovic, Mile

Cetenovic, Dragan

Levi, Victor

Gryazina, Elena

Terzija, Vladimir

statement of authorship

Sajjad Asefi, Mile Mitrovic, Dragan Ćetenović, Victor Levi, Elena Gryazina, Vladimir Terzija

source

Sustainable energy, grids and networks

publisher

Elsevier

journal volume number month

vol. 35

year of publication

2023

pages

art. 101116, 14 p. : ill

url

https://doi.org/10.1016/j.segan.2023.101116

subject term

küberturve

tehisõpe

elektrisüsteemid

rikked

keyword

cyber security

false data injection attack

machine learning (ML)

State estimation

sudden load change

ISSN

2352-4677

notes

Bibliogr.: 55 ref

Open Access

scientific publication

teaduspublikatsioon

classifier

1.1

Scopus

Journal metrics at Scopus

Article at Scopus

WOS

Journal metrics at WOS

Article at WOS

category (general)

Engineering

Energy

category (sub)

Engineering. Control and systems engineering

Engineering. Electrical and electronic engineering

Energy. Energy engineering and power technology

Energy. Renewable energy, sustainability and the environment

quartile

TalTech department

elektroenergeetika ja mehhatroonika instituut

language

inglise

Reserch Group

Power systems research group

Asefi, S., Mitrovic, M., Cetenovic, D., Levi, V., Gryazina, E., Terzija, V. Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods // Sustainable energy, grids and networks (2023) vol. 35, art. 101116, 14 p. : ill. https://doi.org/10.1016/j.segan.2023.101116