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

주요 학습

  • 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.



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