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Inappropriate machine learning application in real power industry cases. / Khalyasmaa, Alexandra; Matrenin, Pavel; Eroshenko, Stanislav.
In: International Journal of Electrical and Computer Engineering, Vol. 12, No. 3, 2022, p. 3023-3032.

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Vancouver

Khalyasmaa A, Matrenin P, Eroshenko S. Inappropriate machine learning application in real power industry cases. International Journal of Electrical and Computer Engineering. 2022;12(3):3023-3032. doi: 10.11591/ijece.v12i3.pp3023-3032

Author

Khalyasmaa, Alexandra ; Matrenin, Pavel ; Eroshenko, Stanislav. / Inappropriate machine learning application in real power industry cases. In: International Journal of Electrical and Computer Engineering. 2022 ; Vol. 12, No. 3. pp. 3023-3032.

BibTeX

@article{77e85d9f04364df0a7ebdf261e06ddae,
title = "Inappropriate machine learning application in real power industry cases",
keywords = "Digital transformation, Intelligent system, Machine learning application, photovoltaic power plants, Power generation forecasting",
author = "Alexandra Khalyasmaa and Pavel Matrenin and Stanislav Eroshenko",
note = "Publisher Copyright: {\textcopyright} 2022 Institute of Advanced Engineering and Science. All rights reserved.",
year = "2022",
doi = "10.11591/ijece.v12i3.pp3023-3032",
language = "English",
volume = "12",
pages = "3023--3032",
journal = "International Journal of Electrical and Computer Engineering",
issn = "2088-8708",
publisher = "Institute of Advanced Engineering and Science (IAES)",
number = "3",

}

RIS

TY - JOUR

T1 - Inappropriate machine learning application in real power industry cases

AU - Khalyasmaa, Alexandra

AU - Matrenin, Pavel

AU - Eroshenko, Stanislav

N1 - Publisher Copyright: © 2022 Institute of Advanced Engineering and Science. All rights reserved.

PY - 2022

Y1 - 2022

KW - Digital transformation

KW - Intelligent system

KW - Machine learning application

KW - photovoltaic power plants

KW - Power generation forecasting

UR - http://www.scopus.com/inward/record.url?scp=85126446498&partnerID=8YFLogxK

U2 - 10.11591/ijece.v12i3.pp3023-3032

DO - 10.11591/ijece.v12i3.pp3023-3032

M3 - Article

AN - SCOPUS:85126446498

VL - 12

SP - 3023

EP - 3032

JO - International Journal of Electrical and Computer Engineering

JF - International Journal of Electrical and Computer Engineering

SN - 2088-8708

IS - 3

ER -

ID: 29827959