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Harkirat0212/SKIPPD

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Hugging Face2026-03-27 更新2026-03-29 收录
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资源简介:
--- license: cc-by-4.0 dataset_info: - config_name: default features: - name: image dtype: image - name: time dtype: timestamp[s, tz=US/Pacific] - name: pv dtype: float32 splits: - name: train num_bytes: 2228797291.64 num_examples: 349372 - name: test num_bytes: 90193889.61 num_examples: 14003 download_size: 2321743541 dataset_size: 2318991181.25 - config_name: labels features: - name: time dtype: timestamp[s, tz=US/Pacific] - name: pv dtype: float32 splits: - name: train num_bytes: 4192464 num_examples: 349372 - name: test num_bytes: 168036 num_examples: 14003 download_size: 4660741 dataset_size: 4360500 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - config_name: labels data_files: - split: train path: labels/train-* - split: test path: labels/test-* --- ## 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} } ```
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