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PyPSA: Python for Power System Analysis

Abstract

Revised release notes are available in the documentation. What's Changed fix(deps): pin xarray c.names by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1370 fix: seaborn user warning by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1372 New architecture and functions for n.explore() using a new PydeckPlotter class by @bobbyxng in https://github.com/PyPSA/PyPSA/pull/1312 fix: base version for rc by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1373 Fixed misaligned indices for pie charts. by @bobbyxng in https://github.com/PyPSA/PyPSA/pull/1375 fix typo in pandas dataframe annotation by @jtbaker in https://github.com/PyPSA/PyPSA/pull/1381 fix: less strict examples retrieval test and pin xarray by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1385 [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in https://github.com/PyPSA/PyPSA/pull/1384 build(deps): bump actions/setup-python from 5 to 6 in the github-actions group by @dependabot[bot] in https://github.com/PyPSA/PyPSA/pull/1379 fix: correct store/storage_unit state-of-charge behavior by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1371 fix: resolve inconsistent period weighting for non-cyclic storage units in global constraints by @fneum in https://github.com/PyPSA/PyPSA/pull/1361 feat: add warnings for typos and setting unintended attributes by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1259 v1.0.0 Documentation by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1250 fix: smaller v1 follow ups by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1395 Fix swapped annuity parameters in stochastic-optimization.ipynb example by @Copilot in https://github.com/PyPSA/PyPSA/pull/1398 build(deps): bump the github-actions group with 3 updates by @dependabot[bot] in https://github.com/PyPSA/PyPSA/pull/1394 fix: Near-opt space example notebook cleanup by @koen-vg in https://github.com/PyPSA/PyPSA/pull/1396 docs: add guru tooltip by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1403 Fix scenario getter by @Irieo in https://github.com/PyPSA/PyPSA/pull/1404 REUSE fine tuning by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1407 ci: improved test runs and codecov settings by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1415 fix: use common consistency meth to prevent false warnings when addin… by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1413 fix: synchronize investment period weightings via set_snapshots by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1414 fix: inconsistent index names and improved guards by @lkstrp in https://github.com/PyPSA/PyPSA/pull/1416 New Contributors @tom-welfonder made their first contribution in https://github.com/PyPSA/PyPSA/pull/1353 @jtbaker made their first contribution in https://github.com/PyPSA/PyPSA/pull/1381 @Copilot made their first contribution in https://github.com/PyPSA/PyPSA/pull/1398 Full Changelog: https://github.com/PyPSA/PyPSA/compare/v0.35.1...v1.0.1

If you use this package, please cite the corresponding manuscript in Journal of Open Research Software.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average