Skip to main content

A set of simulation models representing different distributed consumer or generator units.

Project description

Pysimmods

This projects contains a collection of (python) simulation models for a variety of energy generation and consumption units. Most of the models were originally developed in the context of the research project iHEM (intelligent Home Energy Management) or other projects at OFFIS. Other models were developed during a student project group at the University of Oldenburg. The models are intended to be used with the co-simulation framework mosaik (https://mosaik.offis.de), but are also usable without mosaik.

Version: 0.20

License: LGPL

Installation

Pysimmods requires Python >= 3.8 and is available on https://pypi.org. It can be installed, preferably into a virtualenv, with

>>> pip install pysimmods

Alternatively, you can clone this repository with

>>> git clone https://gitlab.com/midas-mosaik/pysimmods.git

then switch into the pysimmods folder and type

>>> pip install -e .

Documentation

You will find a still growing documentation at https://midas-mosaik.gitlab.io/pysimmods. Please create an issue if you find any errors or if you think that something should be explained more explicitly.

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

pysimmods-0.20.5.tar.gz (83.0 kB view details)

Uploaded Source

Built Distribution

pysimmods-0.20.5-py3-none-any.whl (117.7 kB view details)

Uploaded Python 3

File details

Details for the file pysimmods-0.20.5.tar.gz.

File metadata

  • Download URL: pysimmods-0.20.5.tar.gz
  • Upload date:
  • Size: 83.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for pysimmods-0.20.5.tar.gz
Algorithm Hash digest
SHA256 a1fd6ca5767dcb38351a1b85eba2eab82333f016027a82905febef866f140820
MD5 12e933a7ab5b272c1cf6d8c683eff725
BLAKE2b-256 b7bc85b7d04fca3c21e37a679484b4fa9170b0cdc48890cbabe92106966f9e0b

See more details on using hashes here.

File details

Details for the file pysimmods-0.20.5-py3-none-any.whl.

File metadata

  • Download URL: pysimmods-0.20.5-py3-none-any.whl
  • Upload date:
  • Size: 117.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for pysimmods-0.20.5-py3-none-any.whl
Algorithm Hash digest
SHA256 3ff17572772bf56b4d64b844cbcbfd0759ee82defca3a3dce53ac19d6f2b9a02
MD5 74af0073aa0d365087f08b449a7d0653
BLAKE2b-256 3d9023651c707d771edb8fe17c99f9b4ba2d7232d75d2156747aa2ad27a79e65

See more details on using hashes here.

Supported by

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