A modular multimodal generative AI framework produces synthetic residential building data from public sources, with reported overlaps exceeding 65% against a national reference dataset.
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Constrained Bayesian optimization auto-tunes a building MPC controller, yielding 26.9% electricity cost reduction over rule-based control in a case study.
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Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity
A modular multimodal generative AI framework produces synthetic residential building data from public sources, with reported overlaps exceeding 65% against a national reference dataset.
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What price to pay? Auto-tuning a building MPC controller for optimal economic cost
Constrained Bayesian optimization auto-tunes a building MPC controller, yielding 26.9% electricity cost reduction over rule-based control in a case study.