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    Milwaukee School of Engineering
  Feb 25, 2018
2017-2018 Undergraduate Academic Catalog
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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: graduate standing)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • TBD

Prerequisites by Topic
  • Building energy systems

Course Topics
  • TBD

Richard A. DeVries

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