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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
Turing enhances and simplifies the development of consumer packaged goods (CPG) products with intelligent guidance. It eliminates the need for manual and physical analysis, allowing teams to move swiftly from ideation to production all within a single platform. Many organizations waste millions of dollars on the endless collection and integration of data to create precise models. However, Turing's advanced algorithms need far less data compared to standard machine learning or artificial intelligence solutions. This means no more prolonged periods spent on data aggregation. Turing equips research and development teams with the tools to merge typically incompatible data from diverse systems into one cohesive platform. Utilize Turing’s AI to uncover valuable insights and combinations that were once hidden within isolated data silos. This leads to the creation of superior prototypes at an accelerated pace. With Turing, collaboration and co-creation are seamless across all phases of product development, from initial concept to market launch, all within a single integrated platform. Make informed, data-driven choices regarding products, packaging, or processes in real-time, avoiding the drawn-out and inefficient cycle of physical trial and error. This innovative approach to product development not only saves time but also enhances overall efficiency, driving quicker market entries and better outcomes.
API Access
Has API
API Access
Has API
Integrations
Claude for Financial Services
NVIDIA Quadro Virtual Workstation
Python
Ubuntu
Integrations
Claude for Financial Services
NVIDIA Quadro Virtual Workstation
Python
Ubuntu
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
Turing
Country
United States
Website
www.turingsaas.com/platform-overview
Product Features
Product Features
CPG
Customer Management
Electronic Data Interchange
Financial Accounting
Forecast / Demand Planning
Inventory Management
Lot Tracking
Pricing Management
Shopper Marketing
Trade Promotion
Product Lifecycle Management
Change Management
Compliance Management
Cost Tracking
Design Management
Document Management
Product Data Management
Project Management
Requirements Management
Supplier Management