agentlib-mpc

v0.6.2

Framework for development and execution of agents for control and simulation of energy systems. For more information about how to use this package see README

Latest version published 2 months ago

License: BSD-3-Clause

PyPI

GitHub

Package Health Score

66 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Limited

Popularity

Limited

GitHub Stars: 0
Forks: 0
Contributors: 3

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package agentlib-mpc, we found that it has been starred ? times.

Security

No known security issues

Security and license risk for latest version

Release Date: Sep 23, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 9
Open PR: 1
Last Release: 2 months ago
Last Commit: 2 months ago

Further analysis of the maintenance status of agentlib-mpc based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that agentlib-mpc demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 3
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.9

Age: 5 months
Latest Release: 2 months ago
Dependencies: 1 Direct
Versions: 3
Maintainers: 1
Wheels: OS Independent

Readme

agentlib_mpc

This is a plugin for AgentLib. Includes functions for modeling with CasADi, and using those models in nonlinear MPC, central and distributed (based on ADMM).

See examples and the tutorial in the docs. Best example to start is an MPC for a single air conditioned room.

Installation

Install with:

pip install agentlib_mpc

To install with full dependencies (recommended), run:

pip install agentlib_mpc[full]

Optional Dependencies

AgentLib_MPC has a number of optional dependencies:

fmu: Support simulation of FMU models (https://fmi-standard.org/).
ml: Use machine learning based NARX models for MPC. Currently supports neural networks, gaussian process regression and linear regression. Installs tensorflow, keras and scikit-learn.
interactive: Utility functions for displaying mpc results in an interactive dashboard. Installs plotly and dash.

Install these like

pip install agentlib_mpc[ml]

Citing AgentLib_MPC

For now, please cite the base framework under https://github.com/RWTH-EBC/AgentLib.

A preprint is available under http://dx.doi.org/10.2139/ssrn.4884846 and can be cited as:

> Eser, Steffen and Storek, Thomas and Wüllhorst, Fabian and Dähling, Stefan and Gall, Jan and Stoffel, Phillip and Müller, Dirk, A Modular Python Framework for Rapid Development of Advanced Control Algorithms for Energy Systems. Available at SSRN: https://ssrn.com/abstract=4884846 or http://dx.doi.org/10.2139/ssrn.4884846

When using AgentLib-MPC, please remember to cite other tools that you are using, for example CasADi or IPOPT.

Acknowledgments

We gratefully acknowledge the financial support by Federal Ministry \ for Economic Affairs and Climate Action (BMWK), promotional reference 03ET1495A.

agentlib-mpc dependencies

matplotlib

FAQs

What is agentlib-mpc?

Framework for development and execution of agents for control and simulation of energy systems. Visit Snyk Advisor to see a full health score report for agentlib-mpc, including popularity, security, maintenance & community analysis.

Is agentlib-mpc popular?

We’re still processing downloads data for the python package agentlib-mpc. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is agentlib-mpc well maintained?

We found that agentlib-mpc demonstrated a healthy version release cadence and project activity. It has a community of 3 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is agentlib-mpc safe to use?

The python package agentlib-mpc was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 19 November-2024, at 15:59 (UTC).

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