Data Quality Issues in Solar Panels Installations: A Case Study

被引：0

作者：

Roman, Dumitru ^{[1
]}

Pultier, Antoine ^{[1
]}

Ma, Xiang ^{[2
]}

Soylu, Ahmet ^{[3
]}

Ulyashin, Alexander G. ^{[2
]}

机构：

[1] SINTEF Digital, Oslo, Norway

[2] SINTEF Ind, Oslo, Norway

[3] Oslo Metropolitan Univ, Oslo, Norway

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING AND AI FOR DATA QUALITY IN CYBER-PHYSICAL SYSTEMS/INTERNET OF THINGS, SEA4DQ 2022 | 2022年

基金：

欧盟地平线“2020”;

关键词：

Solar panels; monitoring; data quality; data pipeline;

D O I：

10.1145/3549037.3564120

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Solar photovoltaics (PV) is becoming an important source of global electricity generation. Modern PV installations come with a variety of sensors attached to them for monitoring purposes (e.g., maintenance, prediction of electricity generation, etc.). Data collection (and implicitly the quality of data) from PV systems is becoming essential in this context. In this position paper, we introduce a modern PV mini power plant demo site setup for research purposes and discuss the data quality issues we encountered in operating the power plant.

引用

页码：24 / 25

页数：2

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