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Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning. / Khalyasmaa, Alexandra I.; Eroshenko, Stanislav A.; Tashchilin, Valeriy A. и др.
в: Remote Sensing, Том 12, № 20, 3420, 02.10.2020, стр. 1-21.

Результаты исследований: Вклад в журнал › Статья › Рецензирование

Harvard

Khalyasmaa, AI, Eroshenko, SA, Tashchilin, VA, Ramachandran, H, Chakravarthi, TP & Butusov, DN 2020, 'Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning', Remote Sensing, Том. 12, № 20, 3420, стр. 1-21. https://doi.org/10.3390/rs12203420

APA

Khalyasmaa, A. I., Eroshenko, S. A., Tashchilin, V. A., Ramachandran, H., Chakravarthi, T. P., & Butusov, D. N. (2020). Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning. Remote Sensing, 12(20), 1-21. [3420]. https://doi.org/10.3390/rs12203420

Vancouver

Khalyasmaa AI, Eroshenko SA, Tashchilin VA, Ramachandran H, Chakravarthi TP, Butusov DN. Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning. Remote Sensing. 2020 окт. 2;12(20):1-21. 3420. doi: 10.3390/rs12203420

Author

Khalyasmaa, Alexandra I. ; Eroshenko, Stanislav A. ; Tashchilin, Valeriy A. и др. / Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning. в: Remote Sensing. 2020 ; Том 12, № 20. стр. 1-21.

BibTeX

@article{7005aceafac94ab280951d329798c649,
title = "Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning",
keywords = "Feature engineering, Forecasting, Graphical user interface software, Machine learning, Photovoltaic power plant",
author = "Khalyasmaa, {Alexandra I.} and Eroshenko, {Stanislav A.} and Tashchilin, {Valeriy A.} and Hariprakash Ramachandran and Chakravarthi, {Teja Piepur} and Butusov, {Denis N.}",
year = "2020",
month = oct,
day = "2",
doi = "10.3390/rs12203420",
language = "English",
volume = "12",
pages = "1--21",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "20",

}

RIS

TY - JOUR

T1 - Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning

AU - Khalyasmaa, Alexandra I.

AU - Eroshenko, Stanislav A.

AU - Tashchilin, Valeriy A.

AU - Ramachandran, Hariprakash

AU - Chakravarthi, Teja Piepur

AU - Butusov, Denis N.

PY - 2020/10/2

Y1 - 2020/10/2

KW - Feature engineering

KW - Forecasting

KW - Graphical user interface software

KW - Machine learning

KW - Photovoltaic power plant

UR - http://www.scopus.com/inward/record.url?scp=85092891728&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=WOS:000585525400001

U2 - 10.3390/rs12203420

DO - 10.3390/rs12203420

M3 - Article

AN - SCOPUS:85092891728

VL - 12

SP - 1

EP - 21

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

IS - 20

M1 - 3420

ER -

ID: 14159013