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What is MPCPy?

MPCPy is a Python-based library specifically created to facilitate the testing and implementation of occupant-integrated model predictive control (MPC) in building systems. This innovative tool focuses on utilizing data-driven, simplified physical or statistical models to predict the performance of buildings and improve control methodologies. It consists of four key modules that offer object classes for tasks such as data importation, engagement with either real or simulated systems, estimation and validation of data-driven models, and optimization of control inputs. While MPCPy acts as a comprehensive integration platform, it relies on a variety of free, open-source third-party software for executing models, conducting simulations, implementing parameter estimation techniques, and optimizing solvers. This includes Python libraries for scripting and data manipulation, as well as specialized software solutions designed for specific functions. Importantly, the tasks involving modeling and optimization of physical systems are currently based on the requirements of the Modelica language, which significantly enhances the package's flexibility and capabilities. Overall, MPCPy empowers users to harness sophisticated modeling methods within a dynamic and cooperative environment, ultimately fostering improved building system performance. Furthermore, it opens up opportunities for researchers and practitioners alike to experiment with cutting-edge control strategies tailored to real-world scenarios.

What is BMC AMI Cost Management?

BMC AMI Cost Management delivers a thorough data-driven reporting system that facilitates precise budget forecasting and impact modeling, while also identifying opportunities for cost optimization by transforming intricate technical cost details into actionable business insights. The platform presents users with straightforward cost reporting through intuitive and interactive dashboards, which not only track historical trends and efficiency improvements but also explore comprehensive system-wide and overall cost data. It proves particularly useful in identifying workloads that substantially contribute to software expenses on mainframes, ensuring that initiatives aimed at cost optimization align with the requirements of the organization. Additionally, the tool utilizes predictive analytics to evaluate the potential effects of optimizing IBM software license expenses, which plays a critical role in strategic planning and ongoing budget management. Proactive reporting features allow for comparisons between planned and actual expenditures, highlight discrepancies, and predict possible budget risks associated with costs. Moreover, the inclusion of customized Fit Pricing (TFP) reporting equips users with insights into the monthly elements that impact their TFP expenses, thus enabling more effective cost management. This extensive array of tools ultimately empowers businesses to make strategic financial decisions that are in harmony with their overarching objectives, fostering a culture of informed financial stewardship. In an increasingly complex financial landscape, leveraging such advanced tools can significantly enhance an organization’s ability to navigate budgetary challenges.

Media

Media

Integrations Supported

BMC Compuware Topaz Connect
BMC Middleware Management
Kumoco Cloud Manager
Python
Ubuntu
iVision Plus

Integrations Supported

BMC Compuware Topaz Connect
BMC Middleware Management
Kumoco Cloud Manager
Python
Ubuntu
iVision Plus

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MPCPy

Company Location

United States

Company Website

github.com/lbl-srg/MPCPy

Company Facts

Organization Name

BMC Software

Date Founded

1980

Company Location

United States

Company Website

www.bmc.com/it-solutions/bmc-ami-cost-management.html

Categories and Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

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