Standard

Improving accuracy and generalization performance of small-size recurrent neural networks applied to short-term load forecasting. / Matrenin, Pavel V.; Manusov, Vadim Z.; Khalyasmaa, Alexandra I. и др.
в: Mathematics, Том 8, № 12, 2169, 12.2020, стр. 1-17.

Результаты исследований: Вклад в журналСтатьяРецензирование

Harvard

APA

Vancouver

Author

BibTeX

@article{9a90f0710dd646439aa0e83954519985,
title = "Improving accuracy and generalization performance of small-size recurrent neural networks applied to short-term load forecasting",
keywords = "Coal mining, Neural network applications, Recurrent neural networks, Short-term load forecasting",
author = "Matrenin, {Pavel V.} and Manusov, {Vadim Z.} and Khalyasmaa, {Alexandra I.} and Antonenkov, {Dmitry V.} and Eroshenko, {Stanislav A.} and Butusov, {Denis N.}",
year = "2020",
month = dec,
doi = "10.3390/math8122169",
language = "English",
volume = "8",
pages = "1--17",
journal = "Mathematics",
issn = "2227-7390",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "12",

}

RIS

TY - JOUR

T1 - Improving accuracy and generalization performance of small-size recurrent neural networks applied to short-term load forecasting

AU - Matrenin, Pavel V.

AU - Manusov, Vadim Z.

AU - Khalyasmaa, Alexandra I.

AU - Antonenkov, Dmitry V.

AU - Eroshenko, Stanislav A.

AU - Butusov, Denis N.

PY - 2020/12

Y1 - 2020/12

KW - Coal mining

KW - Neural network applications

KW - Recurrent neural networks

KW - Short-term load forecasting

UR - http://www.scopus.com/inward/record.url?scp=85097532545&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000602153900001

U2 - 10.3390/math8122169

DO - 10.3390/math8122169

M3 - Article

AN - SCOPUS:85097532545

VL - 8

SP - 1

EP - 17

JO - Mathematics

JF - Mathematics

SN - 2227-7390

IS - 12

M1 - 2169

ER -

ID: 20414293