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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/31370
Title: Photovoltaic degradation rates: on the way of improvement
Authors: Zhidiliaeva, N. I.
Tsyrelchuk, I. N.
Keywords: материалы конференций;photovoltaic modules;photovoltaic systems;performance;outdoor testing;field testing;degradation rates
Issue Date: 2018
Publisher: БГУИР
Citation: Zhidiliaeva, 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.
Abstract: Recently 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.
URI: https://libeldoc.bsuir.by/handle/123456789/31370
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2018)

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