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egs_market_integration

https://github.com/lukasfrankenq/egs_market_integration

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: LukasFrankenQ
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 73.5 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

Code and Data for: Market Integration Pathways for Enhanced Geothermal Systems in Europe

This repo provides supplementary data for the paper: [insert link].

How to use

The figures from the are generated by the notebooks and the data is also provided here. To run these,

  1. install envs/envoronment.yaml and your local machine and activate it.
  2. unzip the zip-directory plotting_data.
  3. modify notebooks/data_path.py to point into the first layer of the unzipped directory.
  4. run the notebooks.

If you wish to re-run some of modelling

  1. install envs/envoronment.yaml and your local machine and activate it.
  2. check inside plotting_data which wildcards have been used for the model.
  3. (refer to https://pypsa-eur.readthedocs.io/en/latest for documentation on running the model.)
  4. execute the model with the respective wildcards.

Owner

  • Name: Lukas Franken
  • Login: LukasFrankenQ
  • Kind: user
  • Location: Edinburgh, UK

PhD student in Energy System Modelling and Machine Learning at the University of Edinburgh. Also working with Octopus Energy on modelling electricity markets.

Citation (CITATION.cff) 

# SPDX-FileCopyrightText: : 2021 The PyPSA-Eur Authors
#
# SPDX-License-Identifier: CC0-1.0

cff-version: 1.1.0
message: "If you use this package, please cite it in the following way."
title: "PyPSA-Eur: An open sector-coupled optimisation model of the European energy system"
repository: https://github.com/pypsa/pypsa-eur
version: 0.8.0
license: MIT
authors:
  - family-names: Brown
    given-names: Tom
    orcid: https://orcid.org/0000-0001-5898-1911
  - family-names: Victoria
    given-names: Marta
    orcid: https://orcid.org/0000-0003-1665-1281
  - family-names: Zeyen
    given-names: Elisabeth
    orcid: https://orcid.org/0000-0002-7262-3296
  - family-names: Hofmann
    given-names: Fabian
    orcid: https://orcid.org/0000-0002-6604-5450
  - family-names: Neumann
    given-names: Fabian
    orcid: https://orcid.org/0000-0001-8551-1480
  - family-names: Frysztacki
    given-names: Martha
    orcid: https://orcid.org/0000-0002-0788-1328
  - family-names: Hampp
    given-names: Johannes
    orcid: https://orcid.org/0000-0002-1776-116X
  - family-names: Schlachtberger
    given-names: David
    orcid: https://orcid.org/0000-0002-8167-8213
  - family-names: Hörsch
    given-names: Jonas
    orcid: https://orcid.org/0000-0001-9438-767X

GitHub Events

Total
  • Watch event: 1
  • Public event: 1
  • Push event: 5
  • Fork event: 1
Last Year
  • Watch event: 1
  • Public event: 1
  • Push event: 5
  • Fork event: 1

Issues and Pull Requests

Last synced: 12 months ago

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  • Total pull requests: 0
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  • Average comments per issue: 0
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  • Bot issues: 0
  • Bot pull requests: 0
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  • Average comments per issue: 0
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Dependencies

.github/workflows/ci.yaml actions
  • actions/cache v3 composite
  • actions/checkout v3 composite
  • actions/upload-artifact v3 composite
  • conda-incubator/setup-miniconda v2 composite
doc/requirements.txt pypi
  • atlite >=0.2.9
  • dask *
  • descartes *
  • matplotlib >3.5.1,<3.6
  • memory_profiler *
  • powerplantmatching >=0.5.5
  • pycountry *
  • pypsa *
  • pyyaml *
  • scikit-learn *
  • seaborn *
  • setuptools *
  • sphinx *
  • sphinx_book_theme *
  • sphinxcontrib-bibtex *
  • tables *
  • tabula-py *
envs/environment.yaml pypi
  • tsam >=1.1.0