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Average Ratings 18 Ratings

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support

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

Train in Data is a specialized online school offering intermediate to advanced courses in Python programming, data science, and machine learning designed for serious learners. Led by industry professionals with extensive experience developing and deploying machine learning models in production environments, the platform provides practical, hands-on instruction. Its teaching philosophy centers on mastering the theory behind machine learning before applying it through Python coding exercises. The courses help students build a strong, intuitive understanding of complex concepts while reinforcing learning through real coding practice. Train in Data delivers a comprehensive learning experience by combining theoretical knowledge, practical coding skills, and troubleshooting techniques. This prepares learners to confidently tackle real-world machine learning projects from start to finish. The platform is ideal for those looking to deepen their expertise and transition from theory to practice. Ultimately, it empowers students to become proficient machine learning practitioners.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Python
Jupyter Notebook
JupyterHub
Matplotlib
NumPy
Ubuntu
pandas
scikit-learn

Integrations

Python
Jupyter Notebook
JupyterHub
Matplotlib
NumPy
Ubuntu
pandas
scikit-learn

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$15
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

Train in Data

Founded

2019

Country

Germany

Website

trainindata.com

Product Features

Technical Skills Development

Analytics
Career Coaching
Discussions
Exercises and Projects
Offline Usage
Quizzes & Assessments
Videos

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