rivus | mixed integer linear optimisation model for energy

by tum-ens Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | rivus Summary

rivus is a Python library. rivus has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However rivus build file is not available. You can download it from GitHub.

rivus is a mixed integer linear programming optimisation model for capacity planning for energy infrastructure networks. Its name, latin for stream or canal, stems from its origin as a companion model for urbs, an optimisation model for urban energy systems. This model shares the same structure as urbs, so please refer to its introduction/tutorial for now or dive directly into the code.

Support

Quality

Security

License

Reuse

Support

rivus has a low active ecosystem.

It has 13 star(s) with 9 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 5 have been closed. On average issues are closed in 66 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rivus is current.

Quality

rivus has no bugs reported.

Security

rivus has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

rivus is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

rivus releases are not available. You will need to build from source code and install.

rivus has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed rivus and discovered the below as its top functions. This is intended to give you an instant insight into rivus implemented functionality, and help decide if they suit your requirements.

Run runbunch
Check input
Read data from an Excel file
Analyze a list of graphs
Convert vdf to a networkx graph
Plot a time series
Create a square grid
Create a tensorflow model
Plot a plot of a curve
Get the onset labels for an entity
Get an entity from an instance
Returns a pandas DataFrame containing constant values
Run a scenario
Setup the optimizer
Create plots for a scenario
Plot a binary plot
Returns the sum of the cost function of the rule
Read an Excel file
Reanalyze a directory
Returns a pandas DataFrame of constant values
Take a directory and save it to disk
Find the closest edge to the given edge
Given a list of LineString and a list of LineString to keep the end of the LineString
Create a tensorflow model from data
Setup solver
Return a list of all available models
Store parameters for a given run
Write a shapefile to a shapefile
Create an igraph graph
Create a networkx graph
Plot a 3D plot of a probability distribution
Skeletonize a list of streets

Get all kandi verified functions for this library.

rivus Key Features

No Key Features are available at this moment for rivus.

rivus Examples and Code Snippets

No Code Snippets are available at this moment for rivus.

Community Discussions

No Community Discussions are available at this moment for rivus.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install rivus

You can download it from GitHub.
You can use rivus like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Official documentationList of helpful IPython notebooks on handling geographic input data: join data from building.shp and edge.shp OSM street data to vertex.shp and edge.shp Square grid to vertex.shp and edge.shpSee repository-wiki for archive of interesting conversations, tips, and troubleshooting.

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