2017-2019 Sky Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting (Stanford Benchmark)
- Large-scale integration of photovoltaics (PV) into electricity grids is challenged by the intermittent nature of solar power. Sky image-based solar forecasting has been recognized as a promising approach to predicting the short-term fluctuations. Here, we present a curated dataset from Stanford University in a format ready-to-use for deep-learning- based solar forecasting research and applications. The dataset consists of 3 years (2017-2019) of processed down-sampled sky images (64x64) taken by a ground-based fish-eye camera and power output measurements from a 30-kW rooftop PV array approximately 125 meters away from the camera at Stanford Campus, both of which are logged in 1-min frequency. More details of the dataset can be found in our dataset GitHub repository with link shown in the “Related link” elsewhere on this page. We hope that the dataset will facilitate the research of image-based solar forecasting using deep learning and contribute to a standardized benchmark for evaluating and comparing different solar forecasting models. We also encourage the users to explore on other related areas with this dataset, such as cloud classification, cloud image segmentation and cloud movement forecasting. High resolution raw data from 2017 to 2019 are also available. See links to related items elsewhere on this page.
|Type of resource
|mixed material, Dataset, still image
|July 1, 2022; July 2, 2022; December 5, 2022
|June 22, 2022
|Research team head
|PV output prediction
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
- Preferred citation
- Nie, Y., Li, X., Scott, A., Sun, Y., Venugopal, V., and Brandt, A. (2022). 2017-2019 Sky Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting (Stanford Benchmark). Stanford Digital Repository. Available at https://purl.stanford.edu/dj417rh1007
Stanford Research DataView other items in this collection in SearchWorks
Also listed in
Loading usage metrics...