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About

MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.

About

OpenModelica is an open source modeling and simulation environment based on the Modelica language, intended for industrial and academic use. Its development is supported by the Open Source Modelica Consortium (OSMC), a non-profit organization. The platform aims to provide a comprehensive Modelica modeling, compilation, and simulation environment distributed in both binary and source code forms for research, teaching, and industrial applications. OpenModelica supports the Modelica Standard Library and is compatible with various operating systems, including Windows, Linux, and macOS. It is designed to facilitate the development and execution of both low-level and high-level numerical algorithms, making it suitable for control system design, solving nonlinear equation systems, and developing optimization algorithms applied to complex applications. The platform also offers tools for debugging, visualization, and animation, enhancing the user experience in modeling and simulation tasks.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings

Audience

Researchers and educators interested in a platform for modeling and simulating complex dynamic systems

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Company Information

MPCPy
United States
github.com/lbl-srg/MPCPy

Company Information

OpenModelica
United States
openmodelica.org

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Categories

Categories

Simulation Supported

Integrations

Python Supported
Ubuntu Supported

Integrations

Python Not Supported
Ubuntu Not Supported
Claim MPCPy and update features and information
Claim MPCPy and update features and information
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Claim OpenModelica and update features and information