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What is MPCPy?

MPCPy is a Python-based library specifically created to facilitate the testing and implementation of occupant-integrated model predictive control (MPC) in building systems. This innovative tool focuses on utilizing data-driven, simplified physical or statistical models to predict the performance of buildings and improve control methodologies. It consists of four key modules that offer object classes for tasks such as data importation, engagement with either real or simulated systems, estimation and validation of data-driven models, and optimization of control inputs. While MPCPy acts as a comprehensive integration platform, it relies on a variety of free, open-source third-party software for executing models, conducting simulations, implementing parameter estimation techniques, and optimizing solvers. This includes Python libraries for scripting and data manipulation, as well as specialized software solutions designed for specific functions. Importantly, the tasks involving modeling and optimization of physical systems are currently based on the requirements of the Modelica language, which significantly enhances the package's flexibility and capabilities. Overall, MPCPy empowers users to harness sophisticated modeling methods within a dynamic and cooperative environment, ultimately fostering improved building system performance. Furthermore, it opens up opportunities for researchers and practitioners alike to experiment with cutting-edge control strategies tailored to real-world scenarios.

What is AVEVA APC?

AVEVA APC is an innovative model predictive control system aimed at improving the economic performance of manufacturing operations. As businesses navigate a challenging economic environment marked by reduced budgets, rising energy costs, and intense global competition, AVEVA’s Advanced Process Control solutions address complex manufacturing challenges. These solutions employ advanced automatic control technologies that enhance the value generated by production activities. Not only does this system increase production efficiency and quality, but it also lowers energy usage. Additionally, it is instrumental in refining manufacturing processes, supporting continuous improvements that have a substantial positive impact on financial performance. By utilizing leading-edge technology, AVEVA APC offers a comprehensive strategy for process control, which ultimately fosters greater profitability through better quality, increased output, and lower energy costs. Therefore, for any manufacturer striving for success in a competitive landscape, AVEVA APC proves to be a vital asset that unlocks the full potential of their operations. Its implementation can lead to transformative results that define industry leadership.

Media

Media

Integrations Supported

LLumin
Python
Ubuntu

Integrations Supported

LLumin
Python
Ubuntu

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MPCPy

Company Location

United States

Company Website

github.com/lbl-srg/MPCPy

Company Facts

Organization Name

AVEVA

Company Location

United Kingdom

Company Website

www.aveva.com/en/products/apc/

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