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ASHRAE , 2024
Publisher: ASHRAE
File Format: PDF
$27.00$55.00
2024 ASHRAE Annual Conference
This product is a zip file that contains files that consist of PowerPoint slides synchronized with the audio-recording of the speaker, PDF files of the slides, and audio only (mp3 format) as noted.
This session explores several ways in which AI and surrogate models enhance model-based design, optimization and control of thermal systems. The main objective is to highlight how surrogate modeling techniques, when applied to HVAC equipment, can greatly reduce the computational costs associated with complex physics-based models. This reduction in computational cost opens up new possibilities for design exploration and analysis that were previously unattainable. Additionally, the session offers valuable insights into the challenges and best practices of applying AI techniques in applications that typically lack extensive data.
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