Quality Control for Solar Irradiance Data

With the advent of sensing technology, high-resolution data have become ubiquitous among various smart grid applications. Whereas the data provide valuable empirical evidence, they are often, if not always, subject to significant measurement uncertainty. However, nor is there any standardized proced...

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Bibliographic Details
Published in2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) pp. 208 - 213
Main Authors Yang, Dazhi, Yagli, Gokhan Mert, Quan, Hao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2018
Subjects
BSRN
Extraterrestrial measurements
Mathematical model
Monitoring
Quality control
Sensors
Smart grids
solar irradiance
Sun
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DOI10.1109/ISGT-Asia.2018.8467892

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Summary:With the advent of sensing technology, high-resolution data have become ubiquitous among various smart grid applications. Whereas the data provide valuable empirical evidence, they are often, if not always, subject to significant measurement uncertainty. However, nor is there any standardized procedure to quality control (QC) these data. In this regard, this paper investigates the well-known dataset from the Baseline Solar Radiation Network (BSRN). BSRN archives (mostly) 1-min solar irradiance data from 60 stations around the world for over two decades. A six-step QC procedure is demonstrated using the BSRN data.
DOI:10.1109/ISGT-Asia.2018.8467892