Sun, Z., Ram, M., Jiang, C., Wang, Q., Michael, P., Belikov, J., Yoash, L.

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

scientific publication

teaduspublikatsioon

classifier

1.1

Scopus

Journal metrics at Scopus

Article at Scopus

WOS

Journal metrics at WOS

Article at WOS

category (general)

Energy

category (sub)

Energy. General energy

kvartiil

TTÜ department

tarkvarateaduse instituut

language

inglise

Uurimisrühm

Centre for intelligent systems

Sun, Z., Ram, M., Jiang, C., Wang, Q., Michael, P., Belikov, J., Yoash, L. PF-FEDG : an open-source data generator for frequency disturbance event detection with deep-learning reference classifiers // Energy reports (2023) vol. 9, p. 397-413. https://doi.org/10.1016/j.egyr.2022.11.182