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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

MPCPy is a Python library designed to support the testing and execution of occupant-integrated model predictive control (MPC) within building systems. This tool emphasizes the application of data-driven, simplified physical or statistical models to forecast building performance and enhance control strategies. It comprises four primary modules that provide object classes for data importation, interaction with real or simulated systems, data-driven model estimation and validation, and optimization of control inputs. Although MPCPy serves as a platform for integration, it depends on various free, open-source third-party software for model execution, simulation, parameter estimation techniques, and optimization solvers. This encompasses Python libraries for scripting and data manipulation, along with more specialized software solutions tailored for distinct tasks. Notably, the modeling and optimization tasks related to physical systems are currently grounded in the specifications of the Modelica language, which enhances the flexibility and capability of the package. In essence, MPCPy enables users to leverage advanced modeling techniques through a versatile and collaborative environment.

Description

OpenModelica serves as an open-source platform for modeling and simulating systems using the Modelica language, catering to both industrial and academic sectors. Its progress is driven by the Open Source Modelica Consortium (OSMC), a non-profit entity. This platform seeks to deliver an extensive environment for Modelica modeling, compilation, and simulation, available in both binary and source code formats, thereby supporting research, education, and practical applications in the industry. OpenModelica is compatible with multiple operating systems, such as Windows, Linux, and macOS, and fully supports the Modelica Standard Library. It is crafted to enable the creation and execution of a wide range of numerical algorithms, making it ideal for tasks like control system design, nonlinear equation resolution, and the development of optimization algorithms for intricate applications. Additionally, the platform incorporates features for debugging, visualization, and animation, which not only enhance user interaction but also streamline the modeling and simulation processes significantly. Overall, OpenModelica’s versatility and robust tools make it a valuable asset for engineers and researchers alike.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
Ubuntu Yes 

Integrations

Python No 
Ubuntu No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

MPCPy

Country

United States

Website

github.com/lbl-srg/MPCPy

Vendor Details

Company Name

OpenModelica

Country

United States

Website

openmodelica.org

Product Features

Simulation

1D Simulation No 
3D Modeling No 
3D Simulation No 
Agent-Based Modeling No 
Continuous Modeling No 
Design Analysis No 
Direct Manipulation No 
Discrete Event Modeling No 
Dynamic Modeling No 
Graphical Modeling No 
Industry Specific Database No 
Monte Carlo Simulation No 
Motion Modeling No 
Presentation Tools No 
Stochastic Modeling No 
Turbulence Modeling No 

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