Datasets:
Tasks:
Time Series Forecasting
Modalities:
Image
Languages:
English
Size:
100M<n<1B
Tags:
electricity
License:
| license: apache-2.0 | |
| task_categories: | |
| - time-series-forecasting | |
| language: | |
| - en | |
| tags: | |
| - electricity | |
| size_categories: | |
| - 100M<n<1B | |
| ## Dataset Description | |
| <table border="0"> | |
| <tr> | |
| <td style="width: 40%; vertical-align: top"> | |
| Gyeonggi dataset is 10,000 households based on the highest meter reading rate for all branches of the around in Gyeonggi Province, South Korea. For privacy reasons, the name of the household is not provided. We only provide the ID of the household. | |
| </td> | |
| <td> | |
| <img src="imgs/gy-map.png" > | |
| </td> | |
| </tr> | |
| </table> | |
| ### Dataset Summary | |
| This dataset en-compasses hourly records of building power consumption spanning approximately 1.9 years, ranging from January 1, 2021, to January 14, 2022. | |
| | electrical-meter-id | date | hour | customer-id | amount-of-consumption | | |
| |---------------------|----------|------|-------------|-----------------------| | |
| | 7871 | 20201020 | 1 | 7871 | 4.25 | | |
| | 7871 | 20201020 | 2 | 7871 | 4.12 | | |
| | 7871 | 20201020 | 3 | 7871 | 4.08 | | |
| | 7871 | 20201020 | 4 | 7871 | 4.03 | | |
| | 7871 | 20201020 | 5 | 7871 | 4.09 | | |
| #### Our experiment focuses on the total electricity consumption of a particular ID 6499 | |
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| license: apache-2.0 | |
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