Standard
Harvard
Manusov, VZ, Igumnova, EA
, Eroshenko, SA, Nesterenko, GB
& Matrenin, PV 2020, '
Comparison study of wind flow velocity short-term forecasting methods based on adaptive models and neural networks',
International Journal of Advanced Science and Technology, Том. 29, № 8 Special Issue, стр. 2108-2115.
APA
Manusov, V. Z., Igumnova, E. A.
, Eroshenko, S. A., Nesterenko, G. B.
, & Matrenin, P. V. (2020).
Comparison study of wind flow velocity short-term forecasting methods based on adaptive models and neural networks.
International Journal of Advanced Science and Technology,
29(8 Special Issue), 2108-2115.
Vancouver
Author
BibTeX
@article{9bfeedbf8e51445889c91442dd09a2d8,
title = "Comparison study of wind flow velocity short-term forecasting methods based on adaptive models and neural networks",
keywords = "Adaptive methods, Artificial neural network, Forecasting, Wind power plant",
author = "Manusov, {Vadim Zinovevich} and Igumnova, {Evgeniya Aleksandrovna} and Eroshenko, {Stanislav Andreevich} and Nesterenko, {Gleb Borisovich} and Matrenin, {Pavel Viktorovich}",
year = "2020",
month = apr,
day = "19",
language = "English",
volume = "29",
pages = "2108--2115",
journal = "International Journal of Advanced Science and Technology",
issn = "2005-4238",
publisher = "Science and Engineering Research Support Society",
number = "8 Special Issue",
}
RIS
TY - JOUR
T1 - Comparison study of wind flow velocity short-term forecasting methods based on adaptive models and neural networks
AU - Manusov, Vadim Zinovevich
AU - Igumnova, Evgeniya Aleksandrovna
AU - Eroshenko, Stanislav Andreevich
AU - Nesterenko, Gleb Borisovich
AU - Matrenin, Pavel Viktorovich
PY - 2020/4/19
Y1 - 2020/4/19
KW - Adaptive methods
KW - Artificial neural network
KW - Forecasting
KW - Wind power plant
UR - http://www.scopus.com/inward/record.url?scp=85084993365&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85084993365
VL - 29
SP - 2108
EP - 2115
JO - International Journal of Advanced Science and Technology
JF - International Journal of Advanced Science and Technology
SN - 2005-4238
IS - 8 Special Issue
ER -