Standard

Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate. / Senyuk, Mihail; Beryozkina, Svetlana; Gubin, Pavel et al.
In: Mathematics, Vol. 10, No. 21, 3949, 11.2022.

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

Harvard

Senyuk, M, Beryozkina, S, Gubin, P, Dmitrieva, A, Kamalov, F, Safaraliev, M & Zicmane, I 2022, 'Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate', Mathematics, vol. 10, no. 21, 3949. https://doi.org/10.3390/math10213949

APA

Senyuk, M., Beryozkina, S., Gubin, P., Dmitrieva, A., Kamalov, F., Safaraliev, M., & Zicmane, I. (2022). Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate. Mathematics, 10(21), [3949]. https://doi.org/10.3390/math10213949

Vancouver

Senyuk M, Beryozkina S, Gubin P, Dmitrieva A, Kamalov F, Safaraliev M et al. Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate. Mathematics. 2022 Nov;10(21):3949. doi: 10.3390/math10213949

Author

Senyuk, Mihail ; Beryozkina, Svetlana ; Gubin, Pavel et al. / Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate. In: Mathematics. 2022 ; Vol. 10, No. 21.

BibTeX

@article{df97cb00878047c3a1779260bf3771c2,
title = "Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate",
keywords = "approximation, digital signal processing, mathematical modeling, power system, statistical analysis, time-series analysis",
author = "Mihail Senyuk and Svetlana Beryozkina and Pavel Gubin and Anna Dmitrieva and Firuz Kamalov and Murodbek Safaraliev and Inga Zicmane",
note = "Publisher Copyright: {\textcopyright} 2022 by the authors.",
year = "2022",
month = nov,
doi = "10.3390/math10213949",
language = "English",
volume = "10",
journal = "Mathematics",
issn = "2227-7390",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "21",

}

RIS

TY - JOUR

T1 - Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate

AU - Senyuk, Mihail

AU - Beryozkina, Svetlana

AU - Gubin, Pavel

AU - Dmitrieva, Anna

AU - Kamalov, Firuz

AU - Safaraliev, Murodbek

AU - Zicmane, Inga

N1 - Publisher Copyright: © 2022 by the authors.

PY - 2022/11

Y1 - 2022/11

KW - approximation

KW - digital signal processing

KW - mathematical modeling

KW - power system

KW - statistical analysis

KW - time-series analysis

UR - http://www.scopus.com/inward/record.url?scp=85141839006&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000882323300001

U2 - 10.3390/math10213949

DO - 10.3390/math10213949

M3 - Article

AN - SCOPUS:85141839006

VL - 10

JO - Mathematics

JF - Mathematics

SN - 2227-7390

IS - 21

M1 - 3949

ER -

ID: 31733057