Fault classification in power distribution systems based on limited labeled data using multi-task latent structure learning

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1-10
Number of pages	10
Journal	Sustainable Cities and Society
Volume	73
DOIs	https://doi.org/10.1016/j.scs.2021.103094
Publication status	Published - 2021

Research Field

@article{c26bbb5b32354d25bc2fa275ecbfc6d2,

title = "Fault classification in power distribution systems based on limited labeled data using multi-task latent structure learning",

author = "Mostafa Gilanifar and Hui Wang and Jose Cordova and Ozguven, \{Eren E.\} and Thomas Strasser and Reza Arghandeh",

year = "2021",

doi = "10.1016/j.scs.2021.103094",

language = "English",

volume = "73",

pages = "1--10",

journal = "Sustainable Cities and Society",

issn = "2210-6707",

publisher = "Elsevier Ltd.",

}

TY - JOUR

T1 - Fault classification in power distribution systems based on limited labeled data using multi-task latent structure learning

AU - Gilanifar, Mostafa

AU - Wang, Hui

AU - Cordova, Jose

AU - Ozguven, Eren E.

AU - Strasser, Thomas

AU - Arghandeh, Reza

PY - 2021

Y1 - 2021

U2 - 10.1016/j.scs.2021.103094

DO - 10.1016/j.scs.2021.103094

M3 - Article

SN - 2210-6707

VL - 73

SP - 1

EP - 10

JO - Sustainable Cities and Society

JF - Sustainable Cities and Society

ER -