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Alejandro Mata

BLD124618: AI MEP: Beyond Dynamo, Machine Learning to predict HVAC performance

(Duration 01:07:35)

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Key Learning

Key Learning

  • Learn how to enhance your MEP data analytic skills by integrating Autodesk Revit 2018 and Dynamo with Microsoft Power BI, using R scripts.
  • Get introduced to machine learning technique Supervised Learning for MEP data analytics.
  • Learn the best practices about how to get started for creating machine learning algorithms for MEP performance predictions
  • Learn how to visualize and interpret accuracy of MEP performance results delivered via machine learning techniques.

Description

Description

AEC industry is getting heavy datafied and this trend will continue in the next years . Data science enables to extract knowledge of complex data for enhancing decision taking, along all project phases. This class will show how MEP engineers can enhance Dynamotized HVAC analysis by using machine learning techniques. So, the goal is to predict HVAC systems performance, when some of the design parameter inputs are unknown along design process. To be more specific, this class will cope with HVAC design calculations by integrating Autodesk Revit 2018 and Dynamo with Microsoft Power BI using R scripts. The machine learning technique shown will be supervised learning and an example of ventilation and heating systems analysis will be explored. Moreover, it will show best practices to gather BIM historical data and define the explanatory variables set needed to create machine learning algorithms. Machine learning skills are something that everyone can learn and that AEC industry needs.

Target Audience

Target Audience

Innovative MEP Engineers, Building Services Engineers, Project Leaders, Innovation Leaders, Data science beginners

Speakers

Speakers

Alejandro Mata

Alejandro Mata is BIM consultant at Integrated Digital Solutions department in Ramboll Denmark. He is MSc. HVAC design engineer with a background in civil engineering and architectural technology from DTU-Technical University of Denmark. Alejandro is passionate about enhancing the performance of AEC industry by promoting a better utilization of building technology, towards automation of digital design processes. His focus is to work smarter and achieve the most effective practices to enhance data utilization and digital collaboration among AEC parties. He has been using has using Autodesk, Inc., products for the last 10 years, with a detailed focus in Revit MEP software, and the Dynamo extension complemented with Business Intelligence cloud solutions. He has gained experience in the last 4 years through well-known Nordic projects. Additionally, he has worked as a teaching assistant at DTU and loves sharing knowledge.

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Tags

Published

  • 2017
  • BLD124618
  • AU Las Vegas;

Software

  • Revit MEP

Industry

  • Buildings

Topics

  • Building Information Modeling
  • MEP & Structural Fabrication
  • Business Management