Marketscience Studio

Marketscience Studio

Marketscience
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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

Our Marketing Analytics and optimization software provides a modern, integrated environment for advanced marketing investment analytics. In the data visualization module, users, including those without advanced analytic skills, can examine and understand the sets of visuals and statistics needed to both verify the data and form initial insights and hypotheses on what's driving demand. The core Modeling module provides a comprehensive user interface (UI) for specifying a range of dynamic linear panel models at all levels of the client business. User-specified model structures are integrated with the model database to perform any required variable transformation which is then transferred to the proprietary model estimation algorithm housed within the OxMetrics analytics package.

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 Not Supported
Linux Not Supported
Cloud 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

Organizations looking for an analytics software to solve marketing and sales problems

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 Not 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 Not Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

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

Company Information

Marketscience
Founded: 2017
United States
market.science/mmm-software/

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Cybernetica CENIT

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Cybernetica

Alternatives

Maximus

Maximus

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COLUMBO

COLUMBO

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MassTer

MassTer

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INCA MPC

INCA MPC

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AVEVA APC

AVEVA APC

AVEVA

Categories

Categories

Integrations

Python Supported
Ubuntu Supported

Integrations

Python Not Supported
Ubuntu Not Supported
Claim MPCPy and update features and information
Claim MPCPy and update features and information
Claim Marketscience Studio and update features and information
Claim Marketscience Studio and update features and information