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About

Get more from existing assets, lower costs, and set your team up to win with Guidewheel's AI-powered platform. The fastest way to improve factory operations. Accurately track downtime and root causes to improve utilization and efficiency. Forecast throughput and accurately track planned vs. actual production. Monitor OEE in real time and see how you’re trending over time. Accurately track cycles, cycle time, and performance against targets. Monitor energy usage and find opportunities to reduce consumption and cost. Learn of maintenance needs before they develop into issues. Monitor conditions like temperature, flow, humidity, and pressure. Reveal and address losses like preventable downtime, long changeovers, and late starts to unlock hidden capacity. Get AI-driven alerts the moment performance deviates from plan, so your team can take corrective action to stay on track. Build customer trust by delivering on time every time.

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.

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

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

Audience

Factories and companies seeking a solution to manage their assets and supply chain operations

Audience

Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$59 per month
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version 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 Supported
In Person Not Supported

Training

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

Company Information

Guidewheel
United States
guidewheel.com

Company Information

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

Alternatives

Alternatives

Cybernetica CENIT

Cybernetica CENIT

Cybernetica
COLUMBO

COLUMBO

PiControl Solutions
TRACTIAN

TRACTIAN

Tractian
INCA MPC

INCA MPC

Inca Tools
AVEVA APC

AVEVA APC

AVEVA

Categories

Categories

Integrations

Python Not Supported
Ubuntu Not Supported

Integrations

Python Supported
Ubuntu Supported
Claim Guidewheel and update features and information
Claim Guidewheel and update features and information
Claim MPCPy and update features and information
Claim MPCPy and update features and information