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
National Renewable Energy Laboratory. (2024). CloudCV 10-Second Sky Images and Irradiance Dataset [data set]. Retrieved from 9eae955d-65fe-491c-8864-e3a0782ec1c5.
Perr-Sauer, , White, , and Munch, . CloudCV 10-Second Sky Images and Irradiance Dataset. United States: N.p., 01 Oct, 2024. Web. 9eae955d-65fe-491c-8864-e3a0782ec1c5.
Perr-Sauer, , White, , & Munch, . CloudCV 10-Second Sky Images and Irradiance Dataset. United States. 9eae955d-65fe-491c-8864-e3a0782ec1c5
Perr-Sauer, , White, , and Munch, . 2024. "CloudCV 10-Second Sky Images and Irradiance Dataset". United States. 9eae955d-65fe-491c-8864-e3a0782ec1c5.
@div{oedi_6437, title = {CloudCV 10-Second Sky Images and Irradiance Dataset}, author = {Perr-Sauer, , 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.
}, doi = {}, url = {9eae955d-65fe-491c-8864-e3a0782ec1c5}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {10}}
Details
Data from Oct 1, 2024
Last updated Dec 18, 2024
Submitted Oct 1, 2024
Organization
National Renewable Energy Laboratory
Contact
Robert White