Open source dataset generator for power quality disturbances with deep-learning reference classifiers
author
Machlev, Ram
Chachkes, A.
Belikov, Juri
Beck, Yuval
Levron, Yoash
statement of authorship
R.Machlev, A.Chachkes, J.Belikov, Y.Beck, Y.Levron
source
Electric power systems research
publisher
Elsevier
journal volume number month
vol. 195
year of publication
2021
pages
art. 107152, 7 p. : ill
url
https://doi.org/10.1016/j.epsr.2021.107152
subject term
süvaõpe
andmed
avaandmed
elektrimasinad
keyword
Power quality
Harmonic distortion
PQD
Public dataset
Classification
Classifier
Deep-learning
ISSN
0378-7796
notes
Bibliogr.: 30 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/16044
https://www.scopus.com/record/display.uri?eid=2-s2.0-85102821882&origin=inward&txGid=654336cd0112dc588d30aef485531387
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ELECTR%20POW%20SYST%20RES&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000639729900007
category (general)
Engineering
Energy
Tehnika
Energia
category (sub)
Engineering. Electrical and electronic engineering
Energy. Energy engineering and power technology
Tehnika. Elektri- ja elektroonikatehnika
Energia. Energiatehnika ja energeetika
quartile
Q1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Centre for intelligent systems
Nonlinear control systems group