Open short term forcasting
Project description
Short Term Forcasting
Short term forcasting is a Python package which is used to make short term forecasts for the energy sector. This repository contains all components for the machine learning pipeline required to make a forecast. In order to use the package you need to provide your own data storage and retrieval interface.
Installation
Clone this repository:
git clone git@github.com:alliander-opensource/short-term-forecasting.git
Install dependencies
pip install -r requirements.txt
Install the openstf package
pip install -e openstf
Install own implementation of ktpbase
The code in this repository expects a data storage and retrieval interface to be available through the ktpbase
package. For more information about the implemented interface see TODO.
Usage
To run a task use:
python -m openstf task <task_name>
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 CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
Contact
N.V. Alliander - Team Korte Termijn Prognoses korte.termijn.prognoses@alliander.com
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file openstf-1.5.6.tar.gz
.
File metadata
- Download URL: openstf-1.5.6.tar.gz
- Upload date:
- Size: 91.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0c5c5d5b613ea8373bbe8410439487c34daa96e4fade9349c6a01a6df974306d |
|
MD5 | a702f974a8dcdcbc57470ec489f839ae |
|
BLAKE2b-256 | e71daf988c8c92d8c69161f916ff5e3a6d9bfdfd9cb1e06672ee8928305706bd |
File details
Details for the file openstf-1.5.6-py3-none-any.whl
.
File metadata
- Download URL: openstf-1.5.6-py3-none-any.whl
- Upload date:
- Size: 133.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1072c2aa05a4ffc111b440fb14b4e8842cd254364a915573a6b44d541676595f |
|
MD5 | 6d23e7dcc9c48fb4545dae74d8890d35 |
|
BLAKE2b-256 | 011af5679d5e7d333dab3a9258a6f55653668f9acdd4f61fd6f8ec4c40aac798 |