Skip to content

Myopic implementation for electricity-only model - #1887

Draft
yerbol-akhmetov wants to merge 14 commits into
pypsa-meets-earth:mainfrom
yerbol-akhmetov:feat/elec_myopic
Draft

Myopic implementation for electricity-only model#1887
yerbol-akhmetov wants to merge 14 commits into
pypsa-meets-earth:mainfrom
yerbol-akhmetov:feat/elec_myopic

Conversation

@yerbol-akhmetov

@yerbol-akhmetov yerbol-akhmetov commented Jun 22, 2026

Copy link
Copy Markdown
Member

Closes #1864

Changes proposed in this Pull Request

Good day. This PR aims to implement myopic functionality to electricity-only model. It is built on top of #1869.

Checklist

  • I consent to the release of this PR's code under the AGPLv3 license and non-code contributions under CC0-1.0 and CC-BY-4.0.
  • I tested my contribution locally and it seems to work fine.
  • Code and workflow changes are sufficiently documented, including updates to docstrings for meaningful functions.
  • Newly introduced dependencies are added to envs/environment.yaml and doc/requirements.txt.
  • Changes in configuration options are added in all of config.default.yaml and config.tutorial.yaml.
  • Add a test config or line additions to test/ (note tests are changing the config.tutorial.yaml)
  • Changes in configuration options are also documented in doc/configtables/*.csv and line references are adjusted in doc/user-guide/configuration.md and doc/tutorials/electricity-model.md.
  • If config sections were added, renamed, or removed, update doc/assets/scripts/extract_config_snippets.py accordingly.
  • Archives of the uploaded data do not have an enclosing folder and archive names correspond to the conventions of configs/bundle_config.yaml.
  • A note for the release notes doc/release-notes.md is amended in the format of previous release notes, including reference to the requested PR.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

Implement myopic optimization for power model

1 participant