Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec

@article{Abdelrahman2021PersonalTC,
  title={Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec},
  author={Mahmoud Abdelrahman and Adrian Chong and Clayton Miller},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.00199}
}
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4 Citations
Background Citations
2

4 Citations

Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models
Creating Occupant-Centered Digital Twins Using the Occupant Feedback Ontology Implemented in a Smartwatch App
TLDR
A scalable method to acquire continuous occupant feedback and directly integrate this with other building information is presented and can be used in a wide range of use cases, both within and without the architecture, building, and construction domain.
Development of an Open Government Data (OGD) Evaluation Framework for BIM
TLDR
This research concludes by suggesting that to effectively utilize OGD in the construction industry, the private sector should simply view data after collecting them, create an institutional environment for creating new values by reprocessing data, and build an active data utilization roadmap based on this environment.
The effects of a mismatch between thermal comfort modeling and HVAC controls from an occupancy perspective

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