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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/31370
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dc.contributor.authorZhidiliaeva, N. I.-
dc.contributor.authorTsyrelchuk, I. N.-
dc.date.accessioned2018-05-08T07:47:25Z-
dc.date.available2018-05-08T07:47:25Z-
dc.date.issued2018-
dc.identifier.citationZhidiliaeva, N. I. Photovoltaic degradation rates: on the way of improvement / N. I. Zhidiliaeva, I. N. Tsyrelchuk // BIG DATA Advanced Analytics: collection of materials of the fourth international scientific and practical conference, Minsk, Belarus, May 3 – 4, 2018 / editorial board: М. Batura [etc.]. – Minsk, BSUIR, 2018. – Р. 79 – 85.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/31370-
dc.description.abstractRecently renewable energy has been enjoying a rising support from private organizations and individuals due to the gradual decline in its production cost. Usually, the lack of reliable data that supports the long-term viability of a project is the reason why most investors are hesitant to back a renewable energy venture. The ability to accurately predict power delivery over the course of time is of vital importance to the growth of the photovoltaic (PV) industry. Two key cost drivers are the efficiency with which sunlight is converted into power and how this relationship changes over time. Thanks to the latest big data and predictive analysis technology, renewable energy companies can now produce more energy with reduced costs.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectphotovoltaic modulesru_RU
dc.subjectphotovoltaic systemsru_RU
dc.subjectperformanceru_RU
dc.subjectoutdoor testingru_RU
dc.subjectfield testingru_RU
dc.subjectdegradation ratesru_RU
dc.titlePhotovoltaic degradation rates: on the way of improvementru_RU
dc.typeСтатьяru_RU
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2018)

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