Related Products
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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.
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings
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Audience
Researchers and educators interested in a platform for modeling and simulating complex dynamic systems
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMPCPy
United States
github.com/lbl-srg/MPCPy
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Company InformationOpenModelica
United States
openmodelica.org
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Categories |
Categories |
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Integrations
Python
Ubuntu
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