Comparison of Traditional and Bayesian Calibration Techniques for Gray-Box Modeling
| العنوان: | Comparison of Traditional and Bayesian Calibration Techniques for Gray-Box Modeling |
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| المؤلفون: | Anthony R. Florita, Balaji Rajagopalan, Gregory S. Pavlak, Gregor P. Henze |
| المصدر: | Journal of Architectural Engineering. 20 |
| بيانات النشر: | American Society of Civil Engineers (ASCE), 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | Gray box testing, Engineering, Visual Arts and Performing Arts, Calibration (statistics), business.industry, Bayesian probability, System identification, Probabilistic logic, Building and Construction, computer.software_genre, Surrogate data, Robustness (computer science), Architecture, Econometrics, Data mining, Uncertainty quantification, business, computer, Civil and Structural Engineering |
| الوصف: | Bayesian and nonlinear least-squares methods of calibration were evaluated and compared for gray-box modeling of a retail building. Gray-box model calibration is one form of system identification and is examined here with perturbations to the simple yet popular European Committee for Standardization (CEN)-ISO thermal network model. The primary objective was to understand whether the computational expense of probabilistic Bayesian techniques is required to provide robustness to signal noise, specifically with regard to lower dimensional problems (physical or semiphysical), where model calibration is preferred over uncertainty quantification. The Bayesian approach allows parameter interactions and trade-offs to be revealed, one form of sensitivity analysis, but its full power for uncertainty quantification cannot be harnessed with gray-box or other simplified models. Surrogate data from a detailed building energy simulation program were used to ensure command over latent variables, whereas a range o... |
| تدمد: | 1943-5568 1076-0431 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::411a929f8a8eacb6fadc952a715ec0f6Test https://doi.org/10.1061Test/(asce)ae.1943-5568.0000145 |
| رقم الانضمام: | edsair.doi...........411a929f8a8eacb6fadc952a715ec0f6 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19435568 10760431 |
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