Standard
Intelligent systems as a tool for predicting electrical energy and power generation. / Kyliashkina, Ilina A.
; Eroshenko, Stanislav A.; Shelyug, Stanislav.
60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings. ред. / Janis Grabis; Andrejs Romanovs; Galina Kulesova. Institute of Electrical and Electronics Engineers Inc., 2019. 8940721 (60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings).
Результаты исследований: Глава в книге, отчете, сборнике статей › Материалы конференции › Рецензирование
Harvard
Kyliashkina, IA
, Eroshenko, SA & Shelyug, S 2019,
Intelligent systems as a tool for predicting electrical energy and power generation. в J Grabis, A Romanovs & G Kulesova (ред.),
60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings., 8940721, 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019, Riga, Латвия,
10/10/2019.
https://doi.org/10.1109/ITMS47855.2019.8940721APA
Kyliashkina, I. A.
, Eroshenko, S. A., & Shelyug, S. (2019).
Intelligent systems as a tool for predicting electrical energy and power generation. в J. Grabis, A. Romanovs, & G. Kulesova (Ред.),
60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings [8940721] (60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/ITMS47855.2019.8940721Vancouver
Kyliashkina IA
, Eroshenko SA, Shelyug S.
Intelligent systems as a tool for predicting electrical energy and power generation. в Grabis J, Romanovs A, Kulesova G, Редакторы, 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8940721. (60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings). doi: 10.1109/ITMS47855.2019.8940721
Author
BibTeX
@inproceedings{517e6ae1418845caaf7066f93ea3efc9,
title = "Intelligent systems as a tool for predicting electrical energy and power generation",
keywords = "Artificial intelligence, Forecasting, Neural networks, Numerical weather forecasting models, Solar irradiation, Solar power plant, Weather conditions, weather conditions, forecasting, neural networks, artificial intelligence, numerical weather forecasting models, solar power plant, solar irradiation",
author = "Kyliashkina, {Ilina A.} and Eroshenko, {Stanislav A.} and Stanislav Shelyug",
year = "2019",
month = oct,
doi = "10.1109/ITMS47855.2019.8940721",
language = "English",
series = "60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Janis Grabis and Andrejs Romanovs and Galina Kulesova",
booktitle = "60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings",
address = "United States",
note = "60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 ; Conference date: 10-10-2019 Through 11-10-2019",
}
RIS
TY - GEN
T1 - Intelligent systems as a tool for predicting electrical energy and power generation
AU - Kyliashkina, Ilina A.
AU - Eroshenko, Stanislav A.
AU - Shelyug, Stanislav
PY - 2019/10
Y1 - 2019/10
KW - Artificial intelligence
KW - Forecasting
KW - Neural networks
KW - Numerical weather forecasting models
KW - Solar irradiation
KW - Solar power plant
KW - Weather conditions
KW - weather conditions
KW - forecasting
KW - neural networks
KW - artificial intelligence
KW - numerical weather forecasting models
KW - solar power plant
KW - solar irradiation
UR - http://www.scopus.com/inward/record.url?scp=85077958131&partnerID=8YFLogxK
UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000528792300014
U2 - 10.1109/ITMS47855.2019.8940721
DO - 10.1109/ITMS47855.2019.8940721
M3 - Conference contribution
AN - SCOPUS:85077958131
T3 - 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings
BT - 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings
A2 - Grabis, Janis
A2 - Romanovs, Andrejs
A2 - Kulesova, Galina
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019
Y2 - 10 October 2019 through 11 October 2019
ER -
