Skip to main content

Energy System Model

Project description

PyPI version shields.io PyPI status PyPI pyversions PyPI license QA, tests and publishing codecov

ModUlar energy system Simulation Environment: MUSE

Installation instructions

MUSE is available in PyPI and therefore it can be installed easily with pip. Detailed instructions on how to do that ensuring the right version of Python is used can be found in the Documentation.

  • Recommended installation instructions
  • Instructions for developers

Usage

Once installed, users can:

  • activate the virtual environment (needed only once per session) as explained above
  • run muse --model default to run the default example model
  • run muse --model default --copy XXX to copy the model to subfolder XXX.
  • Alternatively, run muse settings.toml, where settings.toml is an input file for a custom model
  • run muse --help to get a description of the command-line arguments, including the name of any additional models provided with MUSE.

Copyright

Copyright © 2023 Imperial College London

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

muse_os-1.6.0.tar.gz (4.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

muse_os-1.6.0-py3-none-any.whl (216.5 kB view details)

Uploaded Python 3

File details

Details for the file muse_os-1.6.0.tar.gz.

File metadata

  • Download URL: muse_os-1.6.0.tar.gz
  • Upload date:
  • Size: 4.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for muse_os-1.6.0.tar.gz
Algorithm Hash digest
SHA256 63729a3a2535982a2024e1401572a95df82ff8387b5f399162b98e7db65805a3
MD5 5041c49070c5a22a567bd4b05bf3af6c
BLAKE2b-256 37a0e046a147df412dd0adda6680a631d4af9749a282d1194c7cf342cb6ef371

See more details on using hashes here.

Provenance

The following attestation bundles were made for muse_os-1.6.0.tar.gz:

Publisher: publish.yml on EnergySystemsModellingLab/MUSE_OS

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file muse_os-1.6.0-py3-none-any.whl.

File metadata

  • Download URL: muse_os-1.6.0-py3-none-any.whl
  • Upload date:
  • Size: 216.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for muse_os-1.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 17ca9f8d3bc15c798469db50aa532b561fd804f95b9b7efae359c95a2d1a37c4
MD5 9079842bc630d803cd049c9ee6916d0a
BLAKE2b-256 032c1168e8c7606ef46a18fd8f1e864d2acdbda2f71b11ecd2478ea31310c456

See more details on using hashes here.

Provenance

The following attestation bundles were made for muse_os-1.6.0-py3-none-any.whl:

Publisher: publish.yml on EnergySystemsModellingLab/MUSE_OS

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page