https://github.com/PyPSA/PyPSA
- HEAD
- refs/heads/FabianHofmann-patch-1
- refs/heads/FabianHofmann-patch-2
- refs/heads/FabianHofmann-patch-3
- refs/heads/FabianHofmann-patch-4
- refs/heads/FabianHofmann-patch-5
- refs/heads/KMeans1.0-deprecation
- refs/heads/add-FOM-to-ignore-spelling
- refs/heads/add-capacity-additions
- refs/heads/add_NEP_line_type
- refs/heads/add_PyPSA-SP_example
- refs/heads/add_warning_uc
- refs/heads/address-warnings
- refs/heads/adjust-statistics-alternative
- refs/heads/adjust_plotting
- refs/heads/allow-all-comps-in-global-cap-limit
- refs/heads/apply-pre-commit
- refs/heads/arrows
- refs/heads/assign-duals
- refs/heads/attrs-dtype-warning
- refs/heads/auto-update-citation-cff
- refs/heads/avoid-pyomo-python312
- refs/heads/binder-links
- refs/heads/bug-fix-handle-multilink
- refs/heads/bugfix-722
- refs/heads/bugfix-732
- refs/heads/bugfix-779
- refs/heads/bumb-ci-versions
- refs/heads/bump-linopy-version
- refs/heads/ci-disable-windows-conda
- refs/heads/ci-exclude-windows-python3.7
- refs/heads/ci-py3.12
- refs/heads/clarify-marginalcost-store
- refs/heads/cluster-lifetime
- refs/heads/clustering-fix-pnl-columns
- refs/heads/clustering-marginal-cost
- refs/heads/clustering_defaults
- refs/heads/cmap-norm
- refs/heads/codestyle-fixes
- refs/heads/compression
- refs/heads/compression-fix
- refs/heads/consistency-check-fix
- refs/heads/consistency-check-refactor-1
- refs/heads/consisteny-avoid-downcast
- refs/heads/coupling-generators
- refs/heads/deprecate-lopf
- refs/heads/deprecate-pyomo-true
- refs/heads/deprecated-networkclustering
- refs/heads/deprecated-pandas-update-handling
- refs/heads/deprecation-fixes
- refs/heads/deprecations-240209
- refs/heads/discrete-investment
- refs/heads/doc-julio
- refs/heads/doc-multi-decade
- refs/heads/doc/mwe
- refs/heads/documentation-update
- refs/heads/feat/micromamba-ci
- refs/heads/fix-381
- refs/heads/fix-397
- refs/heads/fix-922
- refs/heads/fix-aggregateoneport
- refs/heads/fix-bug-UC
- refs/heads/fix-copy-multi-invest
- refs/heads/fix-curtailment-calculation
- refs/heads/fix-deprecations
- refs/heads/fix-inflow-v0.26.2
- refs/heads/fix-io-bug
- refs/heads/fix-multi-decade-lvlimit
- refs/heads/fix-netcdf-datetime-io
- refs/heads/fix-optimize-dynamic-marginal-cost
- refs/heads/fix-pyomo-attr-setter
- refs/heads/fix-pypower-test
- refs/heads/fix-ramp-limit
- refs/heads/fix-rolling-horizon-uc
- refs/heads/fix-statistics-warning
- refs/heads/fix-xarray-groupby
- refs/heads/fix-xarray-multiindex
- refs/heads/fix/807
- refs/heads/fix_unit_commitment_bug
- refs/heads/fixed-profile
- refs/heads/fneum/addNetworksFunction
- refs/heads/fneum/fix-duals
- refs/heads/fneum/fix-losses
- refs/heads/fneum/multilink-default-flwup
- refs/heads/fneum/multilink-default-flwup-2
- refs/heads/from-url
- refs/heads/front-end-stats
- refs/heads/geometry
- refs/heads/get-as-dense-memory-efficiency
- refs/heads/glc_bus
- refs/heads/globalconstraint-assignment
- refs/heads/highs-default
- refs/heads/iis-after-optimize
- refs/heads/import-path
- refs/heads/introduce_hac_clustering
- refs/heads/investment-statistics
- refs/heads/learning-sos2
- refs/heads/limit-linopy-version
- refs/heads/line-losses-stored
- refs/heads/linearised_UC-fh
- refs/heads/linopt-pandas-performance-warning
- refs/heads/linopy-docs
- refs/heads/linopy-objective-expression
- refs/heads/linopy-optimization
- refs/heads/linopy-update
- refs/heads/linopy-v0.2
- refs/heads/lkstrp-patch-1
- refs/heads/losses
- refs/heads/losses-bugfix
- refs/heads/marginal-cost-storage
- refs/heads/master
- refs/heads/matplotlib-compat
- refs/heads/max-growth-warning
- refs/heads/mga
- refs/heads/misc/missing-statistics-mv
- refs/heads/misc/pre-commit
- refs/heads/modularity_clustering
- refs/heads/move-clustering-module
- refs/heads/multilinks-default
- refs/heads/multiports-addition
- refs/heads/nan-consistency-check
- refs/heads/networkx-v2
- refs/heads/new_users
- refs/heads/no-plot-autoscale
- refs/heads/nodal_balance_check_empty
- refs/heads/numexpr-2.8.5
- refs/heads/operational-limit
- refs/heads/optimization-post-processing-fix-indexing
- refs/heads/optimize-add-kwargs
- refs/heads/optimize-future-warnings
- refs/heads/optimize-retrieve-variable
- refs/heads/optimize-rolling-horizon
- refs/heads/pandas21_fixes
- refs/heads/pc-sourcery
- refs/heads/pd-dev
- refs/heads/pendulum-snapshots
- refs/heads/plot-add-legend
- refs/heads/plot-branch-alpha
- refs/heads/plot-fix-legend-artists
- refs/heads/plot-fix-split-bus-area
- refs/heads/plot-split-circles
- refs/heads/post-discretization
- refs/heads/post-discretization-testing
- refs/heads/pre-commit-ci-update-config
- refs/heads/prep-v0.23
- refs/heads/prep-v0.24
- refs/heads/prep-v0.25
- refs/heads/prep-v0.25.1
- refs/heads/prep-v0.26
- refs/heads/prep-v0.27.1
- refs/heads/prep-v0.29
- refs/heads/prepare-release-v0.27
- refs/heads/py311
- refs/heads/pydata-doc-theme
- refs/heads/pyproject-deps
- refs/heads/redispatch-example
- refs/heads/reenable-solver-opts
- refs/heads/refactor-consistency-check
- refs/heads/release-v0.20
- refs/heads/release-v0.20.1
- refs/heads/remove-ancient-examples
- refs/heads/remove-dubplicated-linopy
- refs/heads/remove-n-mode
- refs/heads/remove-n_mod
- refs/heads/remove-networkclustering
- refs/heads/remove-pyomo
- refs/heads/remove-website
- refs/heads/requests-optional-dep
- refs/heads/retain-inv-period-cluster
- refs/heads/revert-628-move-clustering-module
- refs/heads/sclopf-num-parallel
- refs/heads/shadowprices
- refs/heads/shapes-component
- refs/heads/smk-threads
- refs/heads/sourcery/highs-default
- refs/heads/sourcery/master
- refs/heads/sp
- refs/heads/spatial-cluster-refactor
- refs/heads/speed-up-import
- refs/heads/speed-up-model-creation
- refs/heads/split-investment-fom
- refs/heads/statistics-aggregate-time-fix
- refs/heads/statistics-bus-carrier-nice-name
- refs/heads/statistics-by-country
- refs/heads/statistics-fix
- refs/heads/statistics-marginal_cost
- refs/heads/statistics-refactor
- refs/heads/statistics-sector-alternative
- refs/heads/statistics-sum
- refs/heads/statistics-to-init
- refs/heads/subnetwork-iterate-components
- refs/heads/tep
- refs/heads/tep-v2
- refs/heads/test-fix-colorbar
- refs/heads/test/py3.10
- refs/heads/time-dep-efficiencies
- refs/heads/uc-fix
- refs/heads/uc-links
- refs/heads/update-doc-env
- refs/heads/update-examples-to-linopy-framework
- refs/heads/update-power-to-gas-boiler-to-linopy
- refs/heads/update-statistics-documentation
- refs/heads/users/jrc
- refs/heads/v0.21-prep
- refs/heads/v0.21.1-prep
- refs/heads/v0.22-prep
- refs/tags/v0.10.0
- refs/tags/v0.11.0
- refs/tags/v0.12.0
- refs/tags/v0.13.0
- refs/tags/v0.13.1
- refs/tags/v0.13.2
- refs/tags/v0.14.0
- refs/tags/v0.14.1
- refs/tags/v0.15.0
- refs/tags/v0.16.0
- refs/tags/v0.16.1
- refs/tags/v0.17.0
- refs/tags/v0.17.1
- refs/tags/v0.18.0
- refs/tags/v0.3.0
- refs/tags/v0.3.1
- refs/tags/v0.3.2
- refs/tags/v0.3.3
- refs/tags/v0.4.0
- refs/tags/v0.4.1
- refs/tags/v0.4.2
- refs/tags/v0.5.0
- refs/tags/v0.6.0
- refs/tags/v0.6.1
- refs/tags/v0.6.2
- refs/tags/v0.7.0
- refs/tags/v0.7.1
- refs/tags/v0.8.0
- refs/tags/v0.9.0
Raw File
Take a new snapshot of a software origin
If the archived software origin currently browsed is not synchronized with its upstream version (for instance when new commits have been issued), you can explicitly request Software Heritage to take a new snapshot of it.
Use the form below to proceed. Once a request has been submitted and accepted, it will be processed as soon as possible. You can then check its processing state by visiting this dedicated page.![swh spinner](/static/img/swh-spinner.gif)
Processing "take a new snapshot" request ...
Permalinks
To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.
Tip revision: 62178211ffe8a988e04bf761f2ec08d2da4e35be authored by Fabian Neumann on 27 July 2023, 07:50:58 UTC
Merge pull request #703 from PyPSA/prep-v0.25.1
Merge pull request #703 from PyPSA/prep-v0.25.1
Tip revision: 6217821
pypower.csv
PyPSA,PYPOWER
"Object-oriented, data stored in pandas DataFrames",Numpy integer-indexed arrays
Non-linear power flow,Non-linear power flow
Only linear OPF,Non-linear and linear OPF
Optimisation over multiple time points,Single time-point optimisation
"Generators, storage models, hydro, sector coupling",Just generators
Mixed AC-DC modelling,"Just AC, single synchronous area"
Conceived in Python,Port of Matlab-based MATPOWER