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Releases: pypsa-meets-earth/pypsa-earth

v0.4.0

27 Jul 21:38
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v0.3.0

24 Dec 03:16
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v0.2.3

19 Oct 10:33
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v0.2.2

08 Jul 08:41
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The below is automatically created. Find more descriptive release notes in the documentation.

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v0.2.1

20 May 18:32
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v0.2.0

07 May 14:31
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🎉 New release of PyPSA-Earth version that covers about 60% of the world.
We will release more frequently in future to avoid such super releases.
Welcome to the 9 new contributors 🎉

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Full Changelog: http...

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v0.1.0

10 Sep 00:58
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Full Changelog: v0.0.2...v0.1.0

v0.0.2

06 Apr 17:11
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What changed

This is the second release of PyPSA-Earth that extends the prototype with more stable results. Changes are detailed below.

New Features and major Changes

  • Plotting and summary features: PR #211 and PR #214
  • Templates for issue, PR, feature request: PR #216
  • Attach hydro enabled with all hydro types: PR #232
  • Parallel download of osm data: PR #232
  • Decoupling iso coding from geofabrik; rule download_osm_data extended to the world: PR #236
  • Rule build_shape extended to the world: PR #236
  • Validation of geofabrik links: PR #249
  • Generalized version of Data retrieval with google and zenodo hosting platforms: PR #242 and PR #260
  • Fix random state for kmean clustering, adopted from PR 313
  • Implement area exclusions based on land type using the Copernicus Land Cover: PR #272
  • Flexible demand extraction for multiple years across the globe: PR #275
  • Add CI caching and windows CI: Commit CI windows, PR #277
  • Change config to allow weather year extraction from snapshots as default: PR #301
  • Replace Restyler by .pre-commit PR #307
  • Solved the issue of "overpassing nodes" and restyling osm_build_network: PR #294
  • Revise deprecations in build_shape: PR #315

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v0.0.1 Prototype release

24 Dec 13:23
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What's Changed

This is the first release of PyPSA-Africa which heavily builds on PyPSA-Eur.

New Features and Major Changes

  • Include new data streams for Africa model
  • Demand data implementation from GEGIS. Demand can be chosen for weather years and socioeconomic ssp scenarios.
  • Network is built, cleaned and processed solely on OpenStreetMap data
  • OSM is fetched into Powerplantmatching
  • Voronoi regions, where data is aggregated towards, can be replaced by administrative GADM zones.
  • Augmented line expansion feature can make network meshed, connect isolated mini-grids to the main-grid.
  • Community moved to Discord.
  • Most meetings and agenda's are open, see here.

New Contributors

Full Changelog: https://github.com/pypsa-meets-africa/pypsa-africa/commits/v0.0.1