Data-Driven Characterisation of Solar PV Panel Performance

被引:0
|
作者
Chen, Sue A. [1 ,3 ]
Vishwanath, Arun [1 ]
Sathe, Saket [2 ]
机构
[1] IBM Res Australia, Carlton, Vic 3053, Australia
[2] IBM Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA
[3] Univ Melbourne, Sch Math & Stat, Parkville, Vic 3010, Australia
关键词
solar panels; renewable energy; data analytics; energy production; DUST DEPOSITION; VELOCITY; IMPACT;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Rising electricity prices alongside an increasing environmental awareness have sparked numerous initiatives from consumers to adopt clean energy resources. Additionally, consumers have begun to take a more proactive role in their own electricity generation. They are also more cognisant of how efficiently they generate and use energy. Several households and organisations around the world have embraced the use of solar panels as a means for generating clean and sustainable energy. Analysing data gathered from these panels can reveal valuable insights into their operating performance. In this paper, we develop a data-driven framework to shed light on the performance of photovoltaic (PV) panels and demonstrate its general applicability using three different data sets spanning several months obtained from panels situated in diverse geographies. We show how the framework can be used to infer the operational efficiency of solar panels for home owners and facility managers of commercial organisations alike.
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页数:6
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