MPCPy 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.

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
Types of Training
Training Docs
Customer Support
Online Support

MPCPy Features and Options

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