Quality Control for Solar Irradiance Data

Dazhi Yang, Gokhan Mert Yagli, Hao Quan
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引用次数: 21

Abstract

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.
太阳辐照度数据的质量控制
随着传感技术的出现,高分辨率数据在各种智能电网应用中无处不在。尽管这些数据提供了有价值的经验证据,但它们经常(如果不是总是)受到重大测量不确定性的影响。然而,也没有任何标准化的程序来质量控制(QC)这些数据。在这方面,本文研究了来自基线太阳辐射网(BSRN)的知名数据集。BSRN存档了20多年来来自世界各地60个站点的1分钟太阳辐照度数据。使用BSRN数据演示了六步质量控制程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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