Datasets:

Modalities:
Image
Formats:
parquet
Libraries:
Datasets
Dask
License:
Dataset Viewer
Auto-converted to Parquet
Search is not available for this dataset
image
imagewidth (px)
64
64
time
timestamp[s, tz=US/Pacific]
pv
float32
0
29.6
2017-03-09T14:47:00
0.055691
2017-03-09T14:48:00
0.088763
2017-03-09T14:49:00
0.109171
2017-03-09T14:50:00
0.123206
2017-03-09T14:51:00
0.159748
2017-03-09T14:52:00
0.187554
2017-03-09T14:53:00
0.246712
2017-03-09T14:54:00
0.305602
2017-03-09T14:55:00
0.377306
2017-03-09T14:56:00
0.359507
2017-03-09T14:57:00
0.345134
2017-03-09T14:58:00
0.354725
2017-03-09T14:59:00
0.390664
2017-03-09T15:00:00
0.454608
2017-03-09T15:01:00
0.505382
2017-03-09T15:02:00
0.546516
2017-03-09T15:03:00
0.601256
2017-03-09T15:04:00
0.656523
2017-03-09T15:05:00
0.700257
2017-03-09T15:06:00
0.761019
2017-03-09T15:07:00
0.813864
2017-03-09T15:08:00
0.862825
2017-03-09T15:09:00
0.917141
2017-03-09T15:10:00
0.989677
2017-03-09T15:11:00
1.055411
2017-03-09T15:12:00
1.122389
2017-03-09T15:13:00
1.196491
2017-03-09T15:14:00
1.276721
2017-03-09T15:15:00
1.347838
2017-03-09T15:16:00
1.431364
2017-03-09T15:17:00
1.493554
2017-03-09T15:18:00
1.569899
2017-03-09T15:19:00
1.682637
2017-03-09T15:20:00
1.777972
2017-03-09T15:21:00
1.859009
2017-03-09T15:22:00
1.946541
2017-03-09T15:23:00
2.004047
2017-03-09T15:24:00
2.090795
2017-03-09T15:25:00
2.213165
2017-03-09T15:26:00
2.343655
2017-03-09T15:27:00
2.438818
2017-03-09T15:28:00
2.537425
2017-03-09T15:29:00
2.640562
2017-03-09T15:30:00
2.735248
2017-03-09T15:31:00
2.851472
2017-03-09T15:32:00
2.943094
2017-03-09T15:33:00
3.047894
2017-03-09T15:34:00
3.147739
2017-03-09T15:35:00
3.244824
2017-03-09T15:36:00
3.348189
2017-03-09T15:37:00
3.459479
2017-03-09T15:38:00
3.578032
2017-03-09T15:39:00
3.69739
2017-03-09T15:40:00
3.804992
2017-03-09T15:41:00
3.920716
2017-03-09T15:42:00
4.031606
2017-03-09T15:43:00
4.132761
2017-03-09T15:44:00
4.265265
2017-03-09T15:45:00
4.387063
2017-03-09T15:46:00
4.498543
2017-03-09T15:47:00
4.618031
2017-03-09T15:48:00
4.735337
2017-03-09T15:49:00
4.859424
2017-03-09T15:50:00
4.986014
2017-03-09T15:51:00
5.095098
2017-03-09T15:52:00
5.205394
2017-03-09T15:53:00
5.340899
2017-03-09T15:54:00
5.470237
2017-03-09T15:55:00
5.520597
2017-03-09T15:56:00
5.691123
2017-03-09T15:57:00
5.804318
2017-03-09T15:58:00
5.858312
2017-03-09T15:59:00
5.962276
2017-03-09T16:00:00
6.219264
2017-03-09T16:01:00
6.310006
2017-03-09T16:02:00
6.472498
2017-03-09T16:03:00
6.610425
2017-03-09T16:04:00
6.730357
2017-03-09T16:05:00
6.875725
2017-03-09T16:06:00
6.953729
2017-03-09T16:07:00
7.189692
2017-03-09T16:08:00
7.315384
2017-03-09T16:09:00
7.454111
2017-03-09T16:10:00
7.651556
2017-03-09T16:11:00
7.760193
2017-03-09T16:12:00
7.869648
2017-03-09T16:13:00
8.005076
2017-03-09T16:14:00
8.180782
2017-03-09T16:15:00
8.304679
2017-03-09T16:16:00
8.440807
2017-03-09T16:17:00
8.548921
2017-03-09T16:18:00
8.681983
2017-03-09T16:19:00
8.79567
2017-03-09T16:20:00
8.953068
2017-03-09T16:21:00
9.060186
2017-03-09T16:22:00
9.163852
2017-03-09T16:23:00
9.251859
2017-03-09T16:24:00
9.414237
2017-03-09T16:25:00
9.529002
2017-03-09T16:26:00
9.633117
End of preview. Expand in Data Studio

Citation

If you find SKIPP'D useful to your research, please cite:

Nie, Y., Li, X., Scott, A., Sun, Y., Venugopal, V., & Brandt, A. (2023). SKIPP’D: A SKy Images and Photovoltaic Power Generation Dataset for short-term solar forecasting. Solar Energy, 255, 171-179.

or

@article{nie2023skipp,
  title={SKIPP’D: A SKy Images and Photovoltaic Power Generation Dataset for short-term solar forecasting},
  author={Nie, Yuhao and Li, Xiatong and Scott, Andea and Sun, Yuchi and Venugopal, Vignesh and Brandt, Adam},
  journal={Solar Energy},
  volume={255},
  pages={171--179},
  year={2023},
  publisher={Elsevier}
}
Downloads last month
234