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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.
Osipovich, V. S.
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 : материалы конференции (2019)

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