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

prindi

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

autor

Asefi, Sajjad

Mitrovic, Mile

Cetenovic, Dragan

Levi, Victor

Gryazina, Elena

Terzija, Vladimir

vastutusandmed

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

allikas

Sustainable energy, grids and networks

kirjastus/väljaandja

Elsevier

ajakirja aastakäik number kuu

vol. 35

ilmumisaasta

2023

leheküljed

art. 101116, 14 p. : ill

leitav

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

märksõna

küberturve

tehisõpe

elektrisüsteemid

rikked

võtmesõna

cyber security

false data injection attack

machine learning (ML)

State estimation

sudden load change

ISSN

2352-4677

märkused

Bibliogr.: 55 ref

Open Access

teaduspublikatsioon

klassifikaator

1.1

Scopus

Journal metrics at Scopus

Article at Scopus

WOS

Journal metrics at WOS

Article at WOS

kategooria (üld)

Engineering

Energy

kategooria (alam)

Engineering. Control and systems engineering

Engineering. Electrical and electronic engineering

Energy. Energy engineering and power technology

Energy. Renewable energy, sustainability and the environment

kvartiil

TTÜ struktuuriüksus

elektroenergeetika ja mehhatroonika instituut

keel

inglise

Uurimisrühm

Elektrisüsteemide uurimisrühm

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