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 language | English |
|---|---|
| Title of host publication | International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 |
| Editors | Quan Hao, Anurag Sharma |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 208-213 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538642917 |
| DOIs | |
| State | Published - 18 Sep 2018 |
| Externally published | Yes |
| Event | 2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 - Singapore, Singapore Duration: 22 May 2018 → 25 May 2018 |
Publication series
| Name | International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 |
|---|
Conference
| Conference | 2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 22/05/18 → 25/05/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- BSRN
- quality control
- solar irradiance
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