AE 6410 - Data Driven Modeling

3 lecture hours 0 lab hours 3 credits

Course Description
This course introduces the data-driven modeling, or inverse modeling, approach to building energy simulation, which requires actual building monitored data to establish the causal modality of the building energy use behavior, using various statistical modeling approaches. Topics include fundamentals of the statistical methods required; fundamentals of building energy monitoring; intrinsic problems in monitored data; understanding and interpretation of models predictions by calculating variability, bias, and level of uncertainty; and ASHRAE Guideline 14. (prereq: none)

Course Learning Outcomes
Upon successful completion of this course, the student will be able to:

Prerequisites by Topic

Building energy systems

Course Topics

Coordinator
Blake Wentz

Announcement

The Raider Return

Milwaukee School of Engineering

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AE 6410 - Data Driven Modeling