Uncertainty calibration of building energy models by combining approximate Bayesian computation and machine learning algorithms

Research article (Applied Energy, 2020) · cited 64× · AI/ML
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Uncertainty calibration of building energy models by combining approximate Bayesian computation and machine learning algorithms

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Uncertainty calibration of building energy models by combining approximate Bayesian computation and machine learning algorithms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Uncertainty calibration of building energy models by combining approximate Bayesian computation and machine learning algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/uncertainty-calibration-of-building-energy-models-by-combining-approximate-bayesian-computation-and-machine-learning-alg
MLA “Uncertainty calibration of building energy models by combining approximate Bayesian computation and machine learning algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uncertainty-calibration-of-building-energy-models-by-combining-approximate-bayesian-computation-and-machine-learning-alg.
BibTeX @misc{4ortxyz_uncertainty-calibration-of-building-energy-models-by-combining-approximate-bayesian-computation-and-machine-learning-alg_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Uncertainty calibration of building energy models by combining approximate Bayesian computation and machine learning algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/uncertainty-calibration-of-building-energy-models-by-combining-approximate-bayesian-computation-and-machine-learning-alg}, note = {Accessed: 2026-05-24}}
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