CloudCV 10-Second Sky Images and Irradiance Dataset
The CloudCV 10-Second Sky Image and Irradiance Dataset contains sky images and irradiance measurements recorded every 10 seconds during daylight hours for 90 days between September 5th to December 3rd, 2019. The dataset was collected at the National Renewable Energy Laboratory (NREL) Solar Radiation Research Laboratory (SRRL) mesa-top campus in Golden, Colorado, USA. The instruments used include an ELP 180 degree Fisheye Lens Wide Angle USB Camera webcam and a co-located LICOR LI200 pyranometer. Historical datasets containing other measurements from co-located instruments with overlapping time period may be available from the NREL Baseline Measurement System. The purpose of collecting this dataset was to train very short term solar irradiance forecasting models from sequential image data of cloud cover.
A more detailed description of the CloudCV sky imager and some preliminary analysis conducted with the dataset can be found in NREL Technical Report NREL/TP-2C00-77999
The code repository contains the sky imager's firmware, as well as analysis code and Jupyter notebooks used to perform a preliminary analysis of the short term cloud cover prediction using a linear advection method based on optical flow. The repository is available on Github under NREL Software Record SWR-24-119.
Citation Formats
TY - DATA
AB - The CloudCV 10-Second Sky Image and Irradiance Dataset contains sky images and irradiance measurements recorded every 10 seconds during daylight hours for 90 days between September 5th to December 3rd, 2019. The dataset was collected at the National Renewable Energy Laboratory (NREL) Solar Radiation Research Laboratory (SRRL) mesa-top campus in Golden, Colorado, USA. The instruments used include an ELP 180 degree Fisheye Lens Wide Angle USB Camera webcam and a co-located LICOR LI200 pyranometer. Historical datasets containing other measurements from co-located instruments with overlapping time period may be available from the NREL Baseline Measurement System. The purpose of collecting this dataset was to train very short term solar irradiance forecasting models from sequential image data of cloud cover.
A more detailed description of the CloudCV sky imager and some preliminary analysis conducted with the dataset can be found in NREL Technical Report NREL/TP-2C00-77999
The code repository contains the sky imager's firmware, as well as analysis code and Jupyter notebooks used to perform a preliminary analysis of the short term cloud cover prediction using a linear advection method based on optical flow. The repository is available on Github under NREL Software Record SWR-24-119.
AU - Perr-Sauer
A2 - White
A3 - Munch
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - forecasting
KW - short term forecasting
KW - irradiance
KW - sky image
KW - sky camera
KW - CLOUD COVER
LA - English
DA - 2024/10/01
PY - 2024
PB - National Renewable Energy Laboratory
T1 - CloudCV 10-Second Sky Images and Irradiance Dataset
UR - https://data.openei.org/submissions/8294
ER -
Perr-Sauer, et al. CloudCV 10-Second Sky Images and Irradiance Dataset. National Renewable Energy Laboratory, 1 October, 2024, NREL. https://data.nrel.gov/submissions/248.
Perr-Sauer, White, & Munch. (2024). CloudCV 10-Second Sky Images and Irradiance Dataset. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/248
Perr-Sauer, White, and Munch. CloudCV 10-Second Sky Images and Irradiance Dataset. National Renewable Energy Laboratory, October, 1, 2024. Distributed by NREL. https://data.nrel.gov/submissions/248
@misc{OEDI_Dataset_8294,
title = {CloudCV 10-Second Sky Images and Irradiance Dataset},
author = {Perr-Sauer and White and Munch},
abstractNote = {The CloudCV 10-Second Sky Image and Irradiance Dataset contains sky images and irradiance measurements recorded every 10 seconds during daylight hours for 90 days between September 5th to December 3rd, 2019. The dataset was collected at the National Renewable Energy Laboratory (NREL) Solar Radiation Research Laboratory (SRRL) mesa-top campus in Golden, Colorado, USA. The instruments used include an ELP 180 degree Fisheye Lens Wide Angle USB Camera webcam and a co-located LICOR LI200 pyranometer. Historical datasets containing other measurements from co-located instruments with overlapping time period may be available from the NREL Baseline Measurement System. The purpose of collecting this dataset was to train very short term solar irradiance forecasting models from sequential image data of cloud cover.
A more detailed description of the CloudCV sky imager and some preliminary analysis conducted with the dataset can be found in NREL Technical Report NREL/TP-2C00-77999
The code repository contains the sky imager's firmware, as well as analysis code and Jupyter notebooks used to perform a preliminary analysis of the short term cloud cover prediction using a linear advection method based on optical flow. The repository is available on Github under NREL Software Record SWR-24-119.
},
url = {https://data.nrel.gov/submissions/248},
year = {2024},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/248},
note = {Accessed: 2025-04-25}
}
Details
Data from Oct 1, 2024
Last updated Dec 18, 2024
Submitted Oct 1, 2024
Organization
National Renewable Energy Laboratory
Contact
Robert White
