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Snapshot
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The developed model was deployed and served using AWS Lambda in BUILDIT DESIGNER, a semi-automated 3D modeling computer-aided design program for architecture applications.
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Abstract
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Development process of the generative model for urban wind environment simulation
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Data praparation
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Model
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Result
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Visualization and Application
Generative model for urban wind environment simulation
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Snapshot
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Summary
Automated Urban Building Energy Modeling using GIS data
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Abstract
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Workflow
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Baseline vs. proposed method (TL)
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Findings
Transfer learning to identify unknow building properties from virtual to existing buildings
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Introduction
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Method
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Result
Bayesian inference to identify occupants’ energy saving behavior in a residential building
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Abstract
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Workflow
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Data praparation
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Training and Validation
ResNet to identify occupant behavior patterns from aggregated household energy data
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Summary
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Motivation
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Methodology
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For more detailed, visit the followings:
Inverse approach for building energy retrofit analysis
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Snapshot
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Abstract
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Development process
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Model
Real-time face masking on Edge: Privacy preservation in videos
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Abstract
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Analysis process
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Find the optimal K using Silhouette score
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Representative four energy use patterns
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Clustering energy data of each building use type
Clustering analysis of monthly energy use of 10,750 buildings for benchmarking