Datasets:
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README.md
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## Dataset statistics
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## Dataset statistics
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**Disclaimer:** These datasets have been converted into a unified format from external sources. Please refer to the original sources for licensing and citation terms. We do not claim any rights to the original data.
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| config | freq | # items | # obs | # dynamic cols | # static cols | source | citation |
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| `epf_electricity_be` | h | 1 | 157248 | 3 | 0 | https://zenodo.org/records/4624805 | [[1]](https://doi.org/10.1016/j.apenergy.2021.116983) |
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| `epf_electricity_de` | h | 1 | 157248 | 3 | 0 | https://zenodo.org/records/4624805 | [[1]](https://doi.org/10.1016/j.apenergy.2021.116983) |
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| `epf_electricity_fr` | h | 1 | 157248 | 3 | 0 | https://zenodo.org/records/4624805 | [[1]](https://doi.org/10.1016/j.apenergy.2021.116983) |
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| `epf_electricity_np` | h | 1 | 157248 | 3 | 0 | https://zenodo.org/records/4624805 | [[1]](https://doi.org/10.1016/j.apenergy.2021.116983) |
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| `epf_electricity_pjm` | h | 1 | 157248 | 3 | 0 | https://zenodo.org/records/4624805 | [[1]](https://doi.org/10.1016/j.apenergy.2021.116983) |
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| `favorita_store_sales` | D | 1782 | 12032064 | 4 | 6 | https://www.kaggle.com/competitions/store-sales-time-series-forecasting | [[2]](https://www.kaggle.com/competitions/store-sales-time-series-forecasting/overview/citation) |
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| `favorita_transactions` | D | 54 | 273456 | 3 | 5 | https://www.kaggle.com/competitions/store-sales-time-series-forecasting | [[2]](https://www.kaggle.com/competitions/store-sales-time-series-forecasting/overview/citation) |
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| `m5_with_covariates` | D | 30490 | 428849460 | 9 | 5 | https://www.kaggle.com/competitions/m5-forecasting-accuracy | [[3]](https://doi.org/10.1016/j.ijforecast.2021.07.007) |
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| `proenfo_bull` | h | 41 | 2877216 | 4 | 0 | https://github.com/Leo-VK/EnFoAV | [[4]](https://doi.org/10.48550/arXiv.2307.07191) |
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| `proenfo_cockatoo` | h | 1 | 105264 | 6 | 0 | https://github.com/Leo-VK/EnFoAV | [[4]](https://doi.org/10.48550/arXiv.2307.07191) |
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| `proenfo_covid19` | h | 1 | 223384 | 7 | 0 | https://github.com/Leo-VK/EnFoAV | [[4]](https://doi.org/10.48550/arXiv.2307.07191) |
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| `proenfo_gfc12_load` | h | 11 | 867108 | 2 | 0 | https://github.com/Leo-VK/EnFoAV | [[4]](https://doi.org/10.48550/arXiv.2307.07191) |
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| `proenfo_gfc14_load` | h | 1 | 35040 | 2 | 0 | https://github.com/Leo-VK/EnFoAV | [[4]](https://doi.org/10.48550/arXiv.2307.07191) |
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| `proenfo_gfc17_load` | h | 8 | 280704 | 2 | 0 | https://github.com/Leo-VK/EnFoAV | [[4]](https://doi.org/10.48550/arXiv.2307.07191) |
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| `proenfo_hog` | h | 24 | 2526336 | 6 | 0 | https://github.com/Leo-VK/EnFoAV | [[4]](https://doi.org/10.48550/arXiv.2307.07191) |
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| `proenfo_pdb` | h | 1 | 35040 | 2 | 0 | https://github.com/Leo-VK/EnFoAV | [[4]](https://doi.org/10.48550/arXiv.2307.07191) |
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| `proenfo_spain` | h | 1 | 736344 | 21 | 0 | https://github.com/Leo-VK/EnFoAV | [[4]](https://doi.org/10.48550/arXiv.2307.07191) |
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