disaggregator
A set of tools for processing of spatial and temporal disaggregations.
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 6 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.9%) to scientific vocabulary
Keywords from Contributors
Repository
A set of tools for processing of spatial and temporal disaggregations.
Basic Info
- Host: GitHub
- Owner: DemandRegioTeam
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: master
- Size: 210 MB
Statistics
- Stars: 33
- Watchers: 6
- Forks: 19
- Open Issues: 12
- Releases: 0
Metadata Files
README.md
DemandRegio
This project aims at setting up both a database and a python toolkit called disaggregator for
- temporal and
- spatial disagregation
of demands of - electricity, - heat and - natural gas
of the final energy sectors - private households, - commerce, trade & services (CTS) and - industry.
Installation
Before we really start, please install conda through the latest Anaconda package or via miniconda. After successfully installing conda, open the Anaconda Powershell Prompt.
For experts: You can also open a bash shell (Linux) or command prompt (Windows), but then make sure that your local environment variable PATH points to your anaconda installation directory.
Now, in the root folder of the project create an environment to work in that will be called disaggregator via
bash
$ conda env create -f environment.yml
which installs all required packages. Then activate the environment
bash
$ conda activate disaggregator
How to start
Once the environment is activated, you can start a Jupyter Notebook from there
bash
(disaggregator) $ jupyter notebook
As soon as the Jupyter Notebook opens in your browser, click on the 01_Demo_data-and-config.ipynb file to start with a demonstration:
Results
How does it work?
For each of the three sectors 'private households', 'commerce, trade & services' and 'industry' the spatial and temporal disaggregation is accomplished through application of various functions. These functions take input data from a database and return the desired output as shwon in the diagram. There are four Demo-Notebooks to present these functions and demonstrate their execution.
Acknowledgements
The development of disaggregator was part of the joint DemandRegio-Project which was carried out by
- Forschungszentrum Jülich GmbH (Simon Burges, Bastian Gillessen, Fabian Gotzens)
- Forschungsstelle für Energiewirtschaft e.V. (Tobias Schmid)
- Technical University of Berlin (Stephan Seim, Paul Verwiebe)
License
Current version of software written and maintained by Paul A. Verwiebe (TUB)
Original version of software written by Fabian P. Gotzens (FZJ), Paul A. Verwiebe (TUB), Maike Held (TUB), 2019/20.
disaggregator is released as free software under the GPLv3, see LICENSE for further information.
GitHub Events
Total
- Watch event: 3
- Fork event: 2
Last Year
- Watch event: 3
- Fork event: 2
Committers
Last synced: 12 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Paul Verwiebe | v****e@t****e | 105 |
| Fabian Gotzens | f****s@f****e | 89 |
| Fabian Gotzens | f****s@f****m | 57 |
| FRONTIER\anna.lane | a****e@f****m | 5 |
| Fabian Neumann | f****n@o****e | 1 |
| Uwe Krien | u****t@p****u | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 13
- Total pull requests: 7
- Average time to close issues: about 1 month
- Average time to close pull requests: about 1 month
- Total issue authors: 8
- Total pull request authors: 6
- Average comments per issue: 1.46
- Average comments per pull request: 1.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- nesnoj (5)
- philippklughardt (2)
- nirtakna (1)
- AndrePasemann (1)
- Pyosch (1)
- phuismann (1)
- siebenkaese (1)
- wheitkoetter (1)
Pull Request Authors
- FaKurz (2)
- guest-cc (1)
- uvchik (1)
- NTedjosantoso (1)
- beierd (1)
- fneum (1)