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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.
Description
WhichModel provides a comprehensive AI benchmarking platform that enables users to compare, test, and optimize dozens of AI models to find the ideal fit for their application needs. By supporting over 50 AI models, including leading providers like OpenAI, Anthropic, and Google, the platform allows side-by-side comparisons using the same inputs and custom parameters. Its prompt optimization features help users discover the most effective prompts across different models, improving AI performance. Continuous evaluation tools let users track performance trends over time, ensuring they stay updated with model changes and improvements. The platform addresses common AI challenges such as model selection paralysis, inconsistent performance, hidden costs, and time-consuming testing processes. WhichModel offers flexible pay-as-you-go credit packages, eliminating subscription waste and letting users pay only for benchmarks they run. With real-time testing capabilities and detailed analytics on accuracy, speed, and cost-efficiency, users can confidently choose the best AI for their projects. Responsive 24/7 customer support adds an extra layer of assistance for users of all experience levels.
API Access
Has API
API Access
Has API
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No images available
Integrations
Python
Ubuntu
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$10
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
MPCPy
Country
United States
Website
github.com/lbl-srg/MPCPy
Vendor Details
Company Name
WhichModel.io
Founded
2025
Country
United States
Website
www.whichmodel.io