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Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for ONS-Capacity-Factor-Dataset-Full
Dataset Summary
The ONS-Capacity-Factor-Dataset-Full provides hourly data for wind and solar power plants in Brazil. These values are published by the Operador Nacional do Sistema Elétrico (ONS) — the Brazilian National Electric System Operator — which is responsible for coordinating and controlling electricity generation and transmission in the National Interconnected System (SIN).
The dataset includes data from 2009 to 2025, with files provided yearly from 2009 to 2021 and monthly from 2022 onwards. Each entry represents the capacity factor of a plant or group of plants, calculated as the ratio between the actual generation and the installed capacity.
This dataset is useful for research in renewable energy forecasting, time series analysis, energy systems modeling, and applications of artificial intelligence in the power sector.
Supported Tasks and Benchmarks
- Time Series Forecasting: Predict future capacity factor values for wind and solar energy.
- Renewable Energy Modeling: Analyze the performance of renewable plants over time.
- ML for Energy Systems: Train and evaluate machine learning models for grid optimization and resource planning.
Languages
The dataset contains metadata and headers in Portuguese, as provided by ONS. However, variable names are intuitive and can be easily adapted to English in preprocessing.
Dataset Structure
Data Fields
Each file includes the following fields (translated from Portuguese):
timestamp: Start of the time series (YYYY-MM-DD HH:MM).id: Id of the time series.past_values: The context values of shape(512, 1).past_observed mask: The mask of context values of shape(512, 1).static_categorical_values: If it is wind or solar energy(0 or 1).static_real_values: Latitude and longitude.future_values: The target sequence.future_observerd_mask: The mask of target sequence.
Note: Some years or months may lack some of these fields depending on the ONS publication format.
File Formats
- Parquet (
.parquet)
Data Splits
There are no predefined train/test/validation splits. Users are encouraged to split the data according to their application (e.g., temporal split for forecasting).
Licensing Information
This dataset is licensed under the Creative Commons Attribution License (CC-BY 4.0). You are free to share and adapt the data, provided that appropriate credit is given to ONS.
More information: http://opendefinition.org/od/2.1/pt-br
Source
- Website: ONS Historical Operation Data
- Maintainer: ONS (Operador Nacional do Sistema Elétrico)
- Contact: relacionamento.agentes@ons.org.br
Citation
If you use this dataset in your research, please cite ONS as the data provider:
@misc{
ons_capacity_factor,
title = {ONS Capacity Factor Dataset},
author = {Operador Nacional do Sistema Elétrico (ONS)},
year = {2025},
url = {http://www.ons.org.br}
}
Acknowledgements
This dataset is made available through the ONS Open Data Initiative and the AWS Open Data Sponsorship Program: https://registry.opendata.aws/ons-opendata-portal/
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