Neural Architecture Search (NAS) for designing optimal power quality disturbance classifiers
author
Wang, Qianchao
Kapuza, Itamar
Baimel, Dmitry
Belikov, Juri
Levron, Yoash
Machlev, Ram
statement of authorship
Qianchao Wang, Itamar Kapuza, Dmitry Baimel, Juri Belikov, Yoash Levron, Ram Machlev
source
Electric Power Systems Research
publisher
Elsevier
journal volume number month
vol. 223
year of publication
2023
pages
art. 109574
url
https://doi.org/10.1016/j.epsr.2023.109574
subject term
sügavõpe
geneetilised algoritmid
tehisnärvivõrgud
elektrienergia
keyword
deep-learning
genetic algorithm
NAS
Neural architecture search
power quality
PQD
ISSN
0378-7796
notes
Bibliogr.: 29 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/16044
https://www.scopus.com/record/display.uri?eid=2-s2.0-85163818885&origin=resultslist&sort=plf-f&src=s&sid=9d6331182095b815f95f73c05de1b326&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22Neural+Architecture+Search+%28NAS%29+for+designing+optimal+power+quality+disturbance+classifiers%22%29&sl=109&sessionSearchId=9d6331182095b815f95f73c05de1b326&relpos=0
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ELECTR%20POW%20SYST%20RES&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:001029298100001
category (general)
Engineering
Tehnika
Energy
Energia
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Energy. Energy engineering and power technology
Energia. Energiatehnika ja energeetika
quartile
Q1
TalTech department
tarkvarateaduse instituut
language
inglise