MPCPy Description

MPCPy is a Python package which allows you to test and implement occupant-integrated models predictive control (MPC), for building systems. The package is focused on the use data-driven, simplified statistical or physical models to predict building performance and optimize control. Four modules provide object classes that allow you to import data, interact and validate models and control input. MPCPy is an integration platform. However, it relies upon third-party, free, open-source software packages to implement models, simulates, parameter estimation algorithms, optimization solvers, and other related tasks. This includes Python packages that can be used for data manipulation and scripting, as well as more advanced software packages for specific purposes. Modelica is the language specification that is used for optimization and modeling of physical systems.

Pricing

Pricing Starts At:
Free
Free Version:
Yes

Integrations

API:
Yes, MPCPy has an API

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Company Details

Company:
MPCPy
Headquarters:
United States
Website:
github.com/lbl-srg/MPCPy

Media

MPCPy Screenshot 1
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Product Details

Platforms
Linux
Type of Training
Documentation
Customer Support
Online

MPCPy Features and Options