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Datasets:
SamuelM0422
/
Hourly-Electricity-Demand-Brazil-Dataset

Tasks:
Time Series Forecasting
Modalities:
Text
Formats:
parquet
Languages:
English
Portuguese
Size:
100K - 1M
Tags:
energy
electricity
power-grid
time-series
hourly
Brazil
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
1
Dataset Viewer
Auto-converted to Parquet
id_subsistema
stringclasses
4 values
nom_subsistema
stringclasses
4 values
din_instante
timestamp[ns]date
2020-01-01 00:00:00
2025-04-13 23:00:00
val_cargaenergiahomwmed
float64
1.36k
62.1k
N
NORTE
2020-01-01T00:00:00
4,889.146
NE
NORDESTE
2020-01-01T00:00:00
9,617.975
S
SUL
2020-01-01T00:00:00
10,013.742
SE
SUDESTE
2020-01-01T00:00:00
33,108.8615
N
NORTE
2020-01-01T01:00:00
4,953.315
NE
NORDESTE
2020-01-01T01:00:00
9,628.517
S
SUL
2020-01-01T01:00:00
10,372.604
SE
SUDESTE
2020-01-01T01:00:00
33,368.4085
N
NORTE
2020-01-01T02:00:00
4,992.29
NE
NORDESTE
2020-01-01T02:00:00
9,652.756
S
SUL
2020-01-01T02:00:00
10,257.511
SE
SUDESTE
2020-01-01T02:00:00
33,040.682
N
NORTE
2020-01-01T03:00:00
5,005.238
NE
NORDESTE
2020-01-01T03:00:00
9,600.859
S
SUL
2020-01-01T03:00:00
9,977.659
SE
SUDESTE
2020-01-01T03:00:00
32,399.0965
N
NORTE
2020-01-01T04:00:00
5,006.65
NE
NORDESTE
2020-01-01T04:00:00
9,496.766
S
SUL
2020-01-01T04:00:00
9,742.856
SE
SUDESTE
2020-01-01T04:00:00
31,776.1305
N
NORTE
2020-01-01T05:00:00
4,983.685
NE
NORDESTE
2020-01-01T05:00:00
8,875.656
S
SUL
2020-01-01T05:00:00
9,299.267
SE
SUDESTE
2020-01-01T05:00:00
30,001.084
N
NORTE
2020-01-01T06:00:00
4,752.957
NE
NORDESTE
2020-01-01T06:00:00
8,331.656
S
SUL
2020-01-01T06:00:00
8,808.472
SE
SUDESTE
2020-01-01T06:00:00
28,781.116
N
NORTE
2020-01-01T07:00:00
4,567.798
NE
NORDESTE
2020-01-01T07:00:00
8,280.969
S
SUL
2020-01-01T07:00:00
8,932.251
SE
SUDESTE
2020-01-01T07:00:00
29,278.853
N
NORTE
2020-01-01T08:00:00
4,561.05
NE
NORDESTE
2020-01-01T08:00:00
8,227.924
S
SUL
2020-01-01T08:00:00
9,142.241
SE
SUDESTE
2020-01-01T08:00:00
30,105.0515
N
NORTE
2020-01-01T09:00:00
4,571.542
NE
NORDESTE
2020-01-01T09:00:00
8,203.378
S
SUL
2020-01-01T09:00:00
9,370.016
SE
SUDESTE
2020-01-01T09:00:00
30,934.2405
N
NORTE
2020-01-01T10:00:00
4,537.649
NE
NORDESTE
2020-01-01T10:00:00
8,203.915
S
SUL
2020-01-01T10:00:00
9,585.583
SE
SUDESTE
2020-01-01T10:00:00
31,801.2535
N
NORTE
2020-01-01T11:00:00
4,518.635
NE
NORDESTE
2020-01-01T11:00:00
8,351.319
S
SUL
2020-01-01T11:00:00
9,665.398
SE
SUDESTE
2020-01-01T11:00:00
32,206.752
N
NORTE
2020-01-01T12:00:00
4,503.078
NE
NORDESTE
2020-01-01T12:00:00
8,307.79
S
SUL
2020-01-01T12:00:00
9,496.054
SE
SUDESTE
2020-01-01T12:00:00
32,063.3855
N
NORTE
2020-01-01T13:00:00
4,538.425
NE
NORDESTE
2020-01-01T13:00:00
8,264.712
S
SUL
2020-01-01T13:00:00
9,514.702
SE
SUDESTE
2020-01-01T13:00:00
31,664.444
N
NORTE
2020-01-01T14:00:00
4,580.75
NE
NORDESTE
2020-01-01T14:00:00
8,253.226
S
SUL
2020-01-01T14:00:00
9,609.869
SE
SUDESTE
2020-01-01T14:00:00
31,575.2265
N
NORTE
2020-01-01T15:00:00
4,571.118
NE
NORDESTE
2020-01-01T15:00:00
8,271.73
S
SUL
2020-01-01T15:00:00
9,634.797
SE
SUDESTE
2020-01-01T15:00:00
31,684.9585
N
NORTE
2020-01-01T16:00:00
4,537.213
NE
NORDESTE
2020-01-01T16:00:00
8,405.14
S
SUL
2020-01-01T16:00:00
9,725.733
SE
SUDESTE
2020-01-01T16:00:00
32,204.081
N
NORTE
2020-01-01T17:00:00
4,582.358
NE
NORDESTE
2020-01-01T17:00:00
8,777.405
S
SUL
2020-01-01T17:00:00
9,847.976
SE
SUDESTE
2020-01-01T17:00:00
32,976.0125
N
NORTE
2020-01-01T18:00:00
4,885.621
NE
NORDESTE
2020-01-01T18:00:00
10,059.241
S
SUL
2020-01-01T18:00:00
9,948.737
SE
SUDESTE
2020-01-01T18:00:00
34,888.365
N
NORTE
2020-01-01T19:00:00
5,194.12
NE
NORDESTE
2020-01-01T19:00:00
10,317.968
S
SUL
2020-01-01T19:00:00
10,763.904
SE
SUDESTE
2020-01-01T19:00:00
38,572.758
N
NORTE
2020-01-01T20:00:00
5,331.435
NE
NORDESTE
2020-01-01T20:00:00
10,307.492
S
SUL
2020-01-01T20:00:00
11,522.141
SE
SUDESTE
2020-01-01T20:00:00
39,314.7805
N
NORTE
2020-01-01T21:00:00
5,411.985
NE
NORDESTE
2020-01-01T21:00:00
10,518.922
S
SUL
2020-01-01T21:00:00
11,633.052
SE
SUDESTE
2020-01-01T21:00:00
39,236.211
N
NORTE
2020-01-01T22:00:00
5,492.633
NE
NORDESTE
2020-01-01T22:00:00
10,565.126
S
SUL
2020-01-01T22:00:00
11,471.216
SE
SUDESTE
2020-01-01T22:00:00
38,624.095
N
NORTE
2020-01-01T23:00:00
5,461.698
NE
NORDESTE
2020-01-01T23:00:00
10,328.824
S
SUL
2020-01-01T23:00:00
10,944.096
SE
SUDESTE
2020-01-01T23:00:00
37,077.1445
N
NORTE
2020-01-02T00:00:00
5,350.979
NE
NORDESTE
2020-01-02T00:00:00
10,079.196
S
SUL
2020-01-02T00:00:00
10,371.531
SE
SUDESTE
2020-01-02T00:00:00
35,407.153
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🇧🇷 Hourly Load Curve - ONS (Brazil)

This dataset contains hourly electricity load data for Brazil, published by the ONS - National Electric System Operator. It spans from the year 2000 to the present (currently 2025), with continuous updates.

📌 Description

The data represents the hourly electricity demand profile across the Brazilian National Interconnected System (SIN). It is especially suitable for:

  • Electricity load forecasting
  • Energy demand pattern analysis
  • Time series and machine learning modeling
  • Smart grid simulation and optimization
  • Academic research and planning studies

🗃️ Dataset Structure

The data is provided in .csv, .xlsx, and .parquet formats and organized by year (2000–2025). Each row corresponds to a specific hour of a year and includes:

  • Date and time
  • Total load of the SIN
  • Load per subsystem (SE/CO, South, North, Northeast)

🧪 Example Usage 

import pandas as pd

# Load one year of hourly data
df = pd.read_parquet("CurvaCarga-2023.parquet")
print(df.head())
Downloads last month
51
Size of downloaded dataset files:
2.3 MB
Size of the auto-converted Parquet files:
2.3 MB
Number of rows:
185,280

Models trained or fine-tuned on SamuelM0422/Hourly-Electricity-Demand-Brazil-Dataset

Collection including SamuelM0422/Hourly-Electricity-Demand-Brazil-Dataset