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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

Radiance is intended to aid lighting designers and architects by predicting the light levels and appearance of a space prior to construction. The package includes programs for modeling and translating scene geometry, luminaire data and material properties, all of which are needed as input to the simulation. The lighting simulation itself uses ray tracing techniques to compute radiance values (ie. the quantity of light passing through a specific point in a specific direction), which are typically arranged to form a photographic quality image. The resulting image may be analyzed, displayed and manipulated within the package, and converted to other popular image file formats for export to other packages, facilitating the production of hard copy output. The major portion of the Radiance package, and the part that is of chief interest to users, is the lighting simulation engine that calculates light levels and renders images.

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 Not Supported
Mac Supported
Linux Not 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

Designers or architects who need a validated lighting simulation tool to predict light levels and appearance of a space prior to construction

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

No information available.
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 Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

Radiance
www.radiance-online.org

Alternatives

Cybernetica CENIT

Cybernetica CENIT

Cybernetica

Alternatives

Rayfront

Rayfront

schorsch.com
KeyLIGHTS

KeyLIGHTS

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COLUMBO

COLUMBO

PiControl Solutions
AutoLUX

AutoLUX

Transoft Solutions
INCA MPC

INCA MPC

Inca Tools
DIALux

DIALux

DIAL
AVEVA APC

AVEVA APC

AVEVA

Categories

Categories

3D Rendering Supported
Lighting Design Supported

Integrations

Python Supported
Rayfront Not Supported
Ubuntu Supported

Integrations

Python Not Supported
Rayfront Supported
Ubuntu Not Supported
Claim MPCPy and update features and information
Claim MPCPy and update features and information
Claim Radiance and update features and information
Claim Radiance and update features and information