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https://github.com/OpenSTEF/openstef
Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.
https://github.com/OpenSTEF/openstef
data-science energy energy-forecasting forecasting machine-learning python time-series
Last synced: 3 months ago
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Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.
- Host: GitHub
- URL: https://github.com/OpenSTEF/openstef
- Owner: OpenSTEF
- License: mpl-2.0
- Created: 2021-02-09T08:48:47.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-10-11T13:44:48.000Z (4 months ago)
- Last Synced: 2024-10-29T21:02:52.964Z (3 months ago)
- Topics: data-science, energy, energy-forecasting, forecasting, machine-learning, python, time-series
- Language: HTML
- Homepage: https://openstef.github.io/openstef
- Size: 279 MB
- Stars: 92
- Watchers: 6
- Forks: 29
- Open Issues: 20
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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- open-sustainable-technology - OpenSTEF - A Python package which is used to make short term forecasts for the energy sector. (Energy Systems / Load and Demand Forecasting)
README
# OpenSTEF
[](https://pepy.tech/project/openstef)
[](https://pepy.tech/project/openstef)
[](https://bestpractices.coreinfrastructure.org/projects/5585)
[](https://sonarcloud.io/dashboard?id=OpenSTEF_openstef)
[](https://sonarcloud.io/dashboard?id=OpenSTEF_openstef)
[](https://sonarcloud.io/dashboard?id=OpenSTEF_openstef)
[](https://sonarcloud.io/dashboard?id=OpenSTEF_openstef)
[](https://sonarcloud.io/dashboard?id=OpenSTEF_openstef)
[](https://sonarcloud.io/dashboard?id=OpenSTEF_openstef)
[](https://sonarcloud.io/dashboard?id=OpenSTEF_openstef)
[](https://sonarcloud.io/dashboard?id=OpenSTEF_openstef)
[](https://sonarcloud.io/dashboard?id=OpenSTEF_openstef)
OpenSTEF is a Python package designed for generating short-term forecasts in the energy sector. The repository includes all the essential components required for machine learning pipelines that facilitate the forecasting process. To utilize the package, users are required to furnish their own data storage and retrieval interface.
# Table of contents
- [OpenSTEF](#openstef)
- [Table of contents](#table-of-contents)
- [External information sources](#external-information-sources)
- [Installation](#install)
- [Usage](#usage)
- [Example notebooks](#example-notebooks)
- [Reference Implementation](#reference-implementation)
- [Database connector for OpenSTEF](#database-connector-for-openstef)
- [License](license)
- [Contributing](#contributing)
- [Contact](#contact)
# External information sources
- [Documentation website](https://openstef.github.io/openstef/index.html);
- [Python package](https://pypi.org/project/openstef/);
- [Linux Foundation project page](https://www.lfenergy.org/projects/openstef/);
- [Documentation on dashboard](https://raw.githack.com/OpenSTEF/.github/main/profile/html/openstef_dashboard_doc.html);
- [Video about OpenSTEF](https://www.lfenergy.org/forecasting-to-create-a-more-resilient-optimized-grid/);
- [Teams channel](https://teams.microsoft.com/l/team/19%3ac08a513650524fc988afb296cd0358cc%40thread.tacv2/conversations?groupId=bfcb763a-3a97-4938-81d7-b14512aa537d&tenantId=697f104b-d7cb-48c8-ac9f-bd87105bafdc)
# Installation
## Install the openstef package
```shell
pip install openstef
```
### Remark regarding installation within a **conda environment on Windows**:
A version of the pywin32 package will be installed as a secondary dependency along with the installation of the openstef package. Since conda relies on an old version of pywin32, the new installation can break conda's functionality. The following command can solve this issue:
```shell
pip install pywin32==300
```
For more information on this issue see the [readme of pywin32](https://github.com/mhammond/pywin32#installing-via-pip) or [this Github issue](https://github.com/mhammond/pywin32/issues/1865#issue-1212752696).
# Usage
## Example notebooks
To help you get started, a set of fundamental example notebooks has been created. You can access these offline examples [here](https://github.com/OpenSTEF/openstef-offline-example).
## Reference Implementation
A complete implementation including databases, user interface, example data, etc. is available at: https://github.com/OpenSTEF/openstef-reference
Screenshot of the operational dashboard showing the key functionality of OpenSTEF.
Dashboard documentation can be found [here](https://raw.githack.com/OpenSTEF/.github/main/profile/html/openstef_dashboard_doc.html).
To run a task use:
```shell
python -m openstef task
```
## Database connector for openstef
This repository provides an interface to OpenSTEF (reference) databases. The repository can be found [here](https://github.com/OpenSTEF/openstef-dbc).
# License
This project is licensed under the Mozilla Public License, version 2.0 - see LICENSE for details.
## Licenses third-party libraries
This project includes third-party libraries, which are licensed under their own respective Open-Source licenses. SPDX-License-Identifier headers are used to show which license is applicable. The concerning license files can be found in the LICENSES directory.
# Contributing
Please read [CODE_OF_CONDUCT.md](https://github.com/OpenSTEF/.github/blob/main/CODE_OF_CONDUCT.md), [CONTRIBUTING.md](https://github.com/OpenSTEF/.github/blob/main/CONTRIBUTING.md) and [PROJECT_GOVERNANCE.md](https://github.com/OpenSTEF/.github/blob/main/PROJECT_GOVERNANCE.md) for details on the process for submitting pull requests to us.
# Contact
Please read [SUPPORT.md](https://github.com/OpenSTEF/.github/blob/main/SUPPORT.md) for how to connect and get into contact with the OpenSTEF project