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Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration
Many factors contribute to the inherent uncertainty of energy consumption modeling in buildings. It is essential to perform a calibration and sensitivity analysis in order to manage these uncertainties. Despite the availability of several calibration methods, they are often deterministic and lack qu...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627152/ https://www.ncbi.nlm.nih.gov/pubmed/37936825 http://dx.doi.org/10.1007/s44245-023-00027-2 |