Datasets:
Tasks:
Time Series Forecasting
Languages:
English
Size Categories:
100M<n<1B
Tags:
electricity
License:
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns (20220228, 18, 18.1, 71.76, 17) and 5 missing columns (amount-of-consumption, electrical-meter-id, date, customer-id, hour).
This happened while the csv dataset builder was generating data using
hf://datasets/andrewlee1807/Gyeonggi/xab.csv (at revision 264665bf10ad1c4efb94585c47119f20c040304e)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Error code: UnexpectedError
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electrical-meter-id
int64 | date
int64 | hour
int64 | customer-id
int64 | amount-of-consumption
float64 |
|---|---|---|---|---|
1 | 20,200,801 | 4 | 1 | 38.74 |
1 | 20,200,801 | 18 | 1 | 69.74 |
1 | 20,200,801 | 22 | 1 | 69.51 |
1 | 20,200,801 | 23 | 1 | 70.92 |
1 | 20,200,802 | 5 | 1 | 61.08 |
1 | 20,200,802 | 6 | 1 | 62.67 |
1 | 20,200,803 | 13 | 1 | 222.38 |
1 | 20,200,804 | 2 | 1 | 74.83 |
1 | 20,200,804 | 14 | 1 | 220.58 |
1 | 20,200,804 | 20 | 1 | 117.12 |
1 | 20,200,806 | 1 | 1 | 69.03 |
1 | 20,200,806 | 4 | 1 | 62.13 |
1 | 20,200,806 | 6 | 1 | 45.19 |
1 | 20,200,806 | 12 | 1 | 216.91 |
1 | 20,200,806 | 20 | 1 | 90.36 |
1 | 20,200,808 | 5 | 1 | 32.37 |
1 | 20,200,808 | 14 | 1 | 75.33 |
1 | 20,200,809 | 11 | 1 | 74.21 |
1 | 20,200,809 | 17 | 1 | 21.72 |
1 | 20,200,809 | 23 | 1 | 55.03 |
1 | 20,200,810 | 7 | 1 | 43.63 |
1 | 20,200,810 | 17 | 1 | 152.01 |
1 | 20,200,810 | 22 | 1 | 83.43 |
1 | 20,200,810 | 24 | 1 | 64.72 |
1 | 20,200,811 | 1 | 1 | 56.42 |
1 | 20,200,811 | 2 | 1 | 54.48 |
1 | 20,200,811 | 12 | 1 | 103.25 |
1 | 20,200,812 | 7 | 1 | 55.74 |
1 | 20,200,812 | 9 | 1 | 104.66 |
1 | 20,200,812 | 19 | 1 | 63.21 |
1 | 20,200,813 | 1 | 1 | 51.22 |
1 | 20,200,813 | 15 | 1 | 104.66 |
1 | 20,200,813 | 16 | 1 | 206.83 |
1 | 20,200,813 | 19 | 1 | 125.8 |
1 | 20,200,813 | 20 | 1 | 137.08 |
1 | 20,200,814 | 10 | 1 | 166.82 |
1 | 20,200,814 | 17 | 1 | 52.3 |
1 | 20,200,814 | 24 | 1 | 40.06 |
1 | 20,200,815 | 23 | 1 | 54.19 |
1 | 20,200,816 | 4 | 1 | 23.59 |
1 | 20,200,816 | 19 | 1 | 63.21 |
1 | 20,200,817 | 9 | 1 | 72.05 |
1 | 20,200,818 | 6 | 1 | 47.16 |
1 | 20,200,818 | 7 | 1 | 70.51 |
1 | 20,200,818 | 12 | 1 | 240.04 |
1 | 20,200,818 | 20 | 1 | 133.1 |
1 | 20,200,818 | 22 | 1 | 81.98 |
1 | 20,200,818 | 23 | 1 | 58.39 |
1 | 20,200,819 | 12 | 1 | 229.13 |
1 | 20,200,819 | 17 | 1 | 215.4 |
1 | 20,200,820 | 4 | 1 | 48.93 |
1 | 20,200,820 | 20 | 1 | 119 |
1 | 20,200,820 | 22 | 1 | 75.22 |
1 | 20,200,821 | 4 | 1 | 25.94 |
1 | 20,200,821 | 22 | 1 | 71.61 |
1 | 20,200,821 | 24 | 1 | 50.66 |
1 | 20,200,822 | 14 | 1 | 75.1 |
1 | 20,200,823 | 2 | 1 | 46.3 |
1 | 20,200,823 | 14 | 1 | 89.19 |
1 | 20,200,824 | 4 | 1 | 44.34 |
1 | 20,200,824 | 5 | 1 | 34.78 |
1 | 20,200,824 | 6 | 1 | 47.33 |
1 | 20,200,824 | 17 | 1 | 225.66 |
1 | 20,200,824 | 24 | 1 | 51.36 |
1 | 20,200,825 | 2 | 1 | 49.1 |
1 | 20,200,825 | 3 | 1 | 49.32 |
1 | 20,200,825 | 4 | 1 | 49.16 |
1 | 20,200,825 | 7 | 1 | 59.73 |
1 | 20,200,826 | 2 | 1 | 52.3 |
1 | 20,200,826 | 9 | 1 | 188 |
1 | 20,200,826 | 20 | 1 | 99.29 |
1 | 20,200,827 | 1 | 1 | 74.92 |
1 | 20,200,827 | 5 | 1 | 61.6 |
1 | 20,200,828 | 12 | 1 | 238.64 |
1 | 20,200,828 | 14 | 1 | 231.94 |
1 | 20,200,829 | 3 | 1 | 49.91 |
1 | 20,200,829 | 17 | 1 | 81.5 |
1 | 20,200,829 | 23 | 1 | 50.95 |
1 | 20,200,830 | 2 | 1 | 48.1 |
1 | 20,200,830 | 9 | 1 | 72.81 |
1 | 20,200,830 | 19 | 1 | 78.76 |
1 | 20,200,831 | 6 | 1 | 46.83 |
1 | 20,200,831 | 7 | 1 | 62.74 |
1 | 20,200,831 | 13 | 1 | 224.64 |
1 | 20,200,831 | 18 | 1 | 209.4 |
1 | 20,200,831 | 23 | 1 | 60.04 |
1 | 20,200,901 | 1 | 1 | 49.17 |
1 | 20,200,901 | 2 | 1 | 50.07 |
1 | 20,200,901 | 3 | 1 | 48 |
1 | 20,200,901 | 4 | 1 | 47.31 |
1 | 20,200,901 | 5 | 1 | 48.26 |
1 | 20,200,901 | 6 | 1 | 48.08 |
1 | 20,200,901 | 7 | 1 | 61.44 |
1 | 20,200,901 | 8 | 1 | 98.28 |
1 | 20,200,901 | 9 | 1 | 200.21 |
1 | 20,200,901 | 10 | 1 | 214.38 |
1 | 20,200,901 | 11 | 1 | 215.67 |
1 | 20,200,901 | 12 | 1 | 223.29 |
1 | 20,200,901 | 13 | 1 | 217.1 |
1 | 20,200,901 | 14 | 1 | 217.97 |
End of preview.
Dataset Description
| 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. |
|
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
license: apache-2.0
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