aidotgrids
Overview
1. Quick start
Install stable version (option A):
pip install -U aidotgrids
Or, install bleeding-edge version (Option B):
pip uninstall -y aidotgrids # ensure the PyPI version is removed
pip install git+https://github.com/AI-grids/aidotgrids
2. Datasets
All standardized tasks are hosted on Hugging Face Hub and can be downloaded
automatically via aidotgrids.load. Current coverage:
| Task / Dataset | Modality | Docs |
|---|---|---|
| OPFData | Graphs (optimal-power-flow) | details |
| PowerGraph | Transmission-grid graphs | details |
| SolarCube | Satellite imagery | details |
| BuildingElectricity | Time-series load profiles | details |
| WindFarm | SCADA & weather | details |
Load a dataset in a few lines:
from aidotgrids import load
ds = load.load_task(
task_name="WindFarm",
subtask_name="odd_time_predict48h",
root_path="~/AI-grids" # local cache/download directory
)
3. Contributing
We welcome pull requests for new datasets, models and algorithms, or simply a fix in our code. Please read CONTRIBUTING.md before opening an issue or pull request.
1 maintainer
Metadata
1 maintainer
Release files for aigrids 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| aigrids-0.0.1.tar.gz | 30.3 kB | Without provenance | Details for aigrids-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| aigrids-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for aigrids-0.0.1-py3-none-any.whl |
Total release size: 63.3 kB
Release files / aigrids-0.0.1.tar.gz
| Download URL | aigrids-0.0.1.tar.gz |
|---|---|
| Size | 30.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.9.6
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Release files / aigrids-0.0.1-py3-none-any.whl
| Download URL | aigrids-0.0.1-py3-none-any.whl |
|---|---|
| Size | 33.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
Security for aigrids 0.0.1
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