PF-FEDG : an open-source data generator for frequency disturbance event detection with deep-learning reference classifiers
author
Sun, Zhenglong
Ram, Machlev
Jiang, Chao
Wang, Qianchao
Perl, Michael
Belikov, Juri
Levron, Yoash
statement of authorship
Zhenglong Sun, Machlev Ram, Chao Jiang, Qianchao Wang, Perl Michael, Belikov Juri, Levron Yoash
source
Energy reports
publisher
Elsevier
journal volume number month
vol. 9
year of publication
2023
pages
p. 397-413
url
https://doi.org/10.1016/j.egyr.2022.11.182
subject term
õppimine
tehisnärvivõrgud
algoritmid
elektrisüsteemid
klassifitseerimine
keyword
Frequency disturbance event
Public dataset
Classification
Deep-learning
LSTM
CNN
Neural network
ISSN
2352-4847
notes
Bibliogr. p. 412-413
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100389511
https://www.scopus.com/record/display.uri?eid=2-s2.0-85143667195&origin=inward&txGid=b55824871a132362a1d59f495c152042
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENERGY%20REP&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:000904596100007
category (general)
Energy
Energia
category (sub)
Energy. General energy
Energia. Üldenergia
quartile
Q1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Centre for intelligent systems