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
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100371258
https://www.scopus.com/record/display.uri?eid=2-s2.0-85166961930&origin=inward&txGid=51b9545904c2de4b58e748ea0c07bcce
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=SUSTAIN%20ENERGY%20GRIDS&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:001068747600001
category (general)
Engineering
Tehnika
Energy
Energia
category (sub)
Engineering. Control and systems engineering
Tehnika. Juhtimis- ja süsteemitehnika
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Energy. Energy engineering and power technology
Energia. Energiatehnika ja energeetika
Energy. Renewable energy, sustainability and the environment
Energia. Taastuvenergia, jätkusuutlikkus ja keskkond
quartile
Q1
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Power systems research group