Semantic enrichment for BIM-based building energy performance simulations using semantic textual similarity and fine-tuning multilingual LLM-Reference-Cited by-同舟云学术

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Semantic enrichment for BIM-based building energy performance simulations using semantic textual similarity and fine-tuning multilingual LLM

Published:2024-10 Issue: Volume:95 Page:110312
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Forth Kasimir^ORCID,Borrmann André^ORCID

Publisher

Elsevier BV

Reference60 articles.

1. United Nations Environment Programme, 2022 Global Status Report for Buildings and Construction: Towards a Zero-emission, Efficient and Resilient Buildings and Construction Sector, Nairobi, 2022.

2. Building information modelling based building energy modelling: A review;Gao;Appl. Energy,2019

3. Building Information Modeling: Technological Foundations and Industrial Practice,2018

4. BIM for energy analysis;van Treeck,2018

5. Analysis of BIM-BEM Critical Parameters and Recommendations to Solve the Current Bottlenecks;Raggi,2021

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