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Description
Ecoveritas integrates its specialized knowledge in Extended Producer Responsibility with Ecohub, a secure platform for EPR data management, and Ecoview, an environment for analyzing packaging data, to assist companies in navigating packaging compliance while transforming their reporting data into valuable insights. Ecohub collects and organizes various data types, including sales, purchases, suppliers, and packaging details, while also facilitating data validation and cleaning processes. This robust platform lays the groundwork for unique EPR calculation models that accurately convert validated information into material weights and outputs that are ready for submission across various regulatory frameworks. Anomalies are identified through cross-referencing historical records and packaging data, and verified sample weights help to bridge any gaps in supplier data, ensuring comprehensive datasets are maintained. Furthermore, Ecoview enhances the analytical capabilities of this data, enabling teams to scrutinize packaging at the component, supplier, and material levels and make projections about future EPR obligations and regulatory expenses. This comprehensive approach not only supports compliance but also empowers businesses to make informed decisions based on their packaging practices.
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.
API Access
Has API
API Access
Has API
Integrations
Python
Ubuntu
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
Ecoveritas
Founded
1999
Country
United Kingdom
Website
www.ecoveritas.com
Vendor Details
Company Name
MPCPy
Country
United States
Website
github.com/lbl-srg/MPCPy