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Ratings and Reviews 0 Ratings
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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 HX CODESYS?
The CODESYS OPC UA Server presents a versatile option for runtime environments, making effective use of the controller's capabilities. This component operates independently of any specific platform and integrates smoothly with pre-existing runtime systems. Targeted towards OEM clients, it allows the integration of tailored OEM objects via its integrated provider interface. It features automatic suggestions for inputs, detection of syntax errors, debugging tools, and simulation utilities, all designed to streamline the development process. The compiler produces optimized and high-quality machine code intended for HXCPU. Furthermore, the project trees offer a cohesive method for organizing devices, tasks, and application programs, thereby improving overall efficiency and productivity in development workflows. Ultimately, this extensive array of tools empowers developers to enhance their effectiveness when tackling intricate projects, ensuring that they can address challenges with greater ease.
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
Hitachi
Date Founded
1910
Company Location
Japan
Company Website
automation.hitachi-industrial.eu/en/products/software/plc-programming-software/hx-codesys