Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/34699
Title: Virtual laboratory for testing of solar power plants in big data analysis
Authors: Asimov, R. M.
Valevich, S. V.
Kruse, I.
Asipovich, V. S.
Валевич, С. В.
Осипович, В. С.
Keywords: материалы конференций
Digital twin
Virtual lab
Photovoltaic
Flash-test
Analytics engine
Flash-tests
Issue Date: 2019
Publisher: БГУИР
Citation: Virtual laboratory for testing of solar power plants in big data analysis / R. M. Asimov [et al.] // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 61 – 65.
Abstract: A virtual laboratory for Flash-tests of solar panels under standard field conditions has been proposed, implemented and tested. The results of testing showed the following. DT is able to provide STC data from field measurements. Forecasts can be done on real performance values. Virtual Flasher produces results that correlate better to the behavior of the module in the field.
URI: https://libeldoc.bsuir.by/handle/123456789/34699
Appears in Collections:BIG DATA and Advanced Analytics. BIG DATA и анализ высокого уровня (2019)

Files in This Item:
File Description SizeFormat 
Asimov_Virtual.PDF868,35 kBAdobe PDFView/Open
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.