BIM-Based Automatic Outdoor Thermal Environment and Thermal Comfort Evaluation System Using EnergyPlus-Driven Deep Learning /

Bibliographic Details
Main Author:	Yoo, Wonjae (Author)
Other Authors:	Clayton, Mark (Thesis advisor)
Format:	Thesis eBook
Language:	English
Published:	[College Station, Texas] : [Texas A&M University], [2023]
Subjects:	Major Architecture Outdoor thermal comfort COMFA Neural networks Deep learning EnergyPlus Surrogate model Revit Dynamo C# Zero-touch node Python Sensitivity analysis
Online Access:	Link to OAKTrust copy

Link to OAKTrust copy

Available Online

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Notes:		Available via Institutional Repository (OAKTrust)

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