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Mathematical model of network flow control. / Zaitseva, I. V.; Malafeyev, O. A.; Zakharov, V. V.; Smirnova, T. E.; Novozhilova, L. M.

в: IOP Conference Series: Materials Science and Engineering, Том 873, № 1, 012036, 07.07.2020.

Результаты исследований: Научные публикации в периодических изданияхстатья в журнале по материалам конференцииРецензирование

Harvard

Zaitseva, IV, Malafeyev, OA, Zakharov, VV, Smirnova, TE & Novozhilova, LM 2020, 'Mathematical model of network flow control', IOP Conference Series: Materials Science and Engineering, Том. 873, № 1, 012036. https://doi.org/10.1088/1757-899X/873/1/012036

APA

Vancouver

Zaitseva IV, Malafeyev OA, Zakharov VV, Smirnova TE, Novozhilova LM. Mathematical model of network flow control. IOP Conference Series: Materials Science and Engineering. 2020 Июль 7;873(1). 012036. https://doi.org/10.1088/1757-899X/873/1/012036

Author

Zaitseva, I. V. ; Malafeyev, O. A. ; Zakharov, V. V. ; Smirnova, T. E. ; Novozhilova, L. M. / Mathematical model of network flow control. в: IOP Conference Series: Materials Science and Engineering. 2020 ; Том 873, № 1.

BibTeX

@article{bf51d10d60554b09be1907f569bf453c,
title = "Mathematical model of network flow control",
abstract = "In this paper, we consider a network whose nodes are regions between which it is necessary to distribute electricity coming from its source. Any power plant is a complex economic system that always combines simple concepts-the need to supply the power plant with the main resource for the production of electricity and the need to sell the generated electricity. In this model, due to the need to sell electricity to two regions, the prices for the sale of electricity do not matter. Profit maximization is achieved by minimizing production costs. The optimal policy for generating electricity in the i-th time period is found.",
keywords = "control, flows, mathematical model, network, optimal policy, region, system",
author = "Zaitseva, {I. V.} and Malafeyev, {O. A.} and Zakharov, {V. V.} and Smirnova, {T. E.} and Novozhilova, {L. M.}",
year = "2020",
month = jul,
day = "7",
doi = "10.1088/1757-899X/873/1/012036",
language = "English",
volume = "873",
journal = "IOP Conference Series: Materials Science and Engineering",
issn = "1757-8981",
publisher = "IOP Publishing Ltd.",
number = "1",
note = "1st International Conference on Innovative Informational and Engineering Technologies, IIET 2020 ; Conference date: 28-05-2020 Through 29-05-2020",

}

RIS

TY - JOUR

T1 - Mathematical model of network flow control

AU - Zaitseva, I. V.

AU - Malafeyev, O. A.

AU - Zakharov, V. V.

AU - Smirnova, T. E.

AU - Novozhilova, L. M.

PY - 2020/7/7

Y1 - 2020/7/7

N2 - In this paper, we consider a network whose nodes are regions between which it is necessary to distribute electricity coming from its source. Any power plant is a complex economic system that always combines simple concepts-the need to supply the power plant with the main resource for the production of electricity and the need to sell the generated electricity. In this model, due to the need to sell electricity to two regions, the prices for the sale of electricity do not matter. Profit maximization is achieved by minimizing production costs. The optimal policy for generating electricity in the i-th time period is found.

AB - In this paper, we consider a network whose nodes are regions between which it is necessary to distribute electricity coming from its source. Any power plant is a complex economic system that always combines simple concepts-the need to supply the power plant with the main resource for the production of electricity and the need to sell the generated electricity. In this model, due to the need to sell electricity to two regions, the prices for the sale of electricity do not matter. Profit maximization is achieved by minimizing production costs. The optimal policy for generating electricity in the i-th time period is found.

KW - control

KW - flows

KW - mathematical model

KW - network

KW - optimal policy

KW - region

KW - system

UR - http://www.scopus.com/inward/record.url?scp=85089495225&partnerID=8YFLogxK

U2 - 10.1088/1757-899X/873/1/012036

DO - 10.1088/1757-899X/873/1/012036

M3 - Conference article

AN - SCOPUS:85089495225

VL - 873

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

SN - 1757-8981

IS - 1

M1 - 012036

T2 - 1st International Conference on Innovative Informational and Engineering Technologies, IIET 2020

Y2 - 28 May 2020 through 29 May 2020

ER -

ID: 62501701