Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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