Standard
Harvard
Gulakhmadov, A
, Tavlintsev, A, Pankratov, A
, Suvorov, A, Kovaleva, A, Lipnitskiy, I
, Safaraliev, M, Semenenko, S, Gubin, P, Dmitriev, S & Rasulzoda, K 2021, '
A Statistical-Based Approach to Load Model Parameter Identification',
IEEE Access, Том. 9, 9419005, стр. 66915-66928.
https://doi.org/10.1109/ACCESS.2021.3076690APA
Gulakhmadov, A.
, Tavlintsev, A., Pankratov, A.
, Suvorov, A., Kovaleva, A., Lipnitskiy, I.
, Safaraliev, M., Semenenko, S., Gubin, P., Dmitriev, S., & Rasulzoda, K. (2021).
A Statistical-Based Approach to Load Model Parameter Identification.
IEEE Access,
9, 66915-66928. [9419005].
https://doi.org/10.1109/ACCESS.2021.3076690Vancouver
Author
BibTeX
@article{1bbb543972ca420b994e6c9a33e8851f,
title = "A Statistical-Based Approach to Load Model Parameter Identification",
keywords = "Load modeling, power system, power system study, static load model, ZIP model",
author = "Aminjon Gulakhmadov and Alexander Tavlintsev and Aleksey Pankratov and Anton Suvorov and Anastasia Kovaleva and Ilya Lipnitskiy and Murodbek Safaraliev and Sergey Semenenko and Pavel Gubin and Stepan Dmitriev and Khusrav Rasulzoda",
note = "Funding Information: This work was supported in part by the Strategic Priority Research Program of the Chinese Academy of Sciences, in part by the Pan-Third Pole Environment Study for a Green Silk Road under Grant XDA20060303, in part by the K. C. Wong Education Foundation under Grant GJTD-2020-14, in part by the International Cooperation Project of National Natural Science Foundation of China under Grant 41761144079, in part by the CAS PIFI Fellowship under Grant 2021PC0002, in part by the Xinjiang Tianchi Hundred Talents Program under Grant Y848041, in part by the CAS Interdisciplinary Innovation Team under Grant JCTD-2019-20, in part by the project of the Research Center of Ecology and Environment in Central Asia under Grant Y934031, and in part by the Regional Collaborative Innovation Project of Xinjiang Uygur Autonomous Regions under Grant 2020E01010. Publisher Copyright: {\textcopyright} 2013 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
doi = "10.1109/ACCESS.2021.3076690",
language = "English",
volume = "9",
pages = "66915--66928",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
}
RIS
TY - JOUR
T1 - A Statistical-Based Approach to Load Model Parameter Identification
AU - Gulakhmadov, Aminjon
AU - Tavlintsev, Alexander
AU - Pankratov, Aleksey
AU - Suvorov, Anton
AU - Kovaleva, Anastasia
AU - Lipnitskiy, Ilya
AU - Safaraliev, Murodbek
AU - Semenenko, Sergey
AU - Gubin, Pavel
AU - Dmitriev, Stepan
AU - Rasulzoda, Khusrav
N1 - Funding Information:
This work was supported in part by the Strategic Priority Research Program of the Chinese Academy of Sciences, in part by the Pan-Third Pole Environment Study for a Green Silk Road under Grant XDA20060303, in part by the K. C. Wong Education Foundation under Grant GJTD-2020-14, in part by the International Cooperation Project of National Natural Science Foundation of China under Grant 41761144079, in part by the CAS PIFI Fellowship under Grant 2021PC0002, in part by the Xinjiang Tianchi Hundred Talents Program under Grant Y848041, in part by the CAS Interdisciplinary Innovation Team under Grant JCTD-2019-20, in part by the project of the Research Center of Ecology and Environment in Central Asia under Grant Y934031, and in part by the Regional Collaborative Innovation Project of Xinjiang Uygur Autonomous Regions under Grant 2020E01010.
Publisher Copyright:
© 2013 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
KW - Load modeling
KW - power system
KW - power system study
KW - static load model
KW - ZIP model
UR - http://www.scopus.com/inward/record.url?scp=85105114216&partnerID=8YFLogxK
UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000648326800001
UR - https://elibrary.ru/item.asp?id=46044948
U2 - 10.1109/ACCESS.2021.3076690
DO - 10.1109/ACCESS.2021.3076690
M3 - Article
AN - SCOPUS:85105114216
VL - 9
SP - 66915
EP - 66928
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
M1 - 9419005
ER -
