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Quality Control for Solar Irradiance Data

  • Agency for Science, Technology and Research, Singapore
  • National University of Singapore

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationInternational Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
EditorsQuan Hao, Anurag Sharma
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages208-213
Number of pages6
ISBN (Electronic)9781538642917
DOIs
StatePublished - 18 Sep 2018
Externally publishedYes
Event2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 - Singapore, Singapore
Duration: 22 May 201825 May 2018

Publication series

NameInternational Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

Conference

Conference2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Country/TerritorySingapore
CitySingapore
Period22/05/1825/05/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • BSRN
  • quality control
  • solar irradiance

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