Average Ratings 1 Rating
Average Ratings 0 Ratings
Description
ExtendSim offers a comprehensive suite of tools suitable for various simulation tasks. Regardless of your intended application—whether it's model creation, execution, or analysis—there's a tailored package available to meet your specific requirements. The product range includes options for model construction, experimentation, and analytical assessment, along with Model Developer Editions and specialized packages focused on simulation execution, model evaluation, or educational purposes. To determine the most appropriate package for your needs, you can explore the User Types section. Users can create, utilize, and dynamically run models, develop custom interfaces and components, as well as exchange and control data with other software applications. Each Model Developer Edition (MDE) of ExtendSim retains a unified core of functionalities, allowing users to design and assemble models and interfaces, adjust parameters, execute simulations and animations, conduct experiments, and perform analyses and optimizations—all while being able to save and export their results effectively. This flexibility ensures that users can fully leverage ExtendSim's capabilities to enhance their simulation experience.
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.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Python
No
Ubuntu
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Imagine That
Founded
1989
Country
United States
Website
www.extendsim.com
Vendor Details
Company Name
MPCPy
Country
United States
Website
github.com/lbl-srg/MPCPy
Product Features
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
No
Finite Element Analysis
No
Fluid Dynamics
No
Import / Export Files
No
Integrated 3D Modeling
No
Manufacturing Process Simulation
No
Mechanical Event Simulation
No
Multibody Dynamics
No
Thermal Analysis
No
Simulation
1D Simulation
Yes
3D Modeling
Yes
3D Simulation
Yes
Agent-Based Modeling
Yes
Continuous Modeling
Yes
Design Analysis
Yes
Direct Manipulation
Yes
Discrete Event Modeling
Yes
Dynamic Modeling
Yes
Graphical Modeling
Yes
Industry Specific Database
Yes
Monte Carlo Simulation
Yes
Motion Modeling
No
Presentation Tools
Yes
Stochastic Modeling
Yes
Turbulence Modeling
Yes