Quantification of model uncertainty: Calibration, model discrepancy, and identifiability

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A review of uncertainty analysis in building energy assessment (2018, methodology): “Moreover, the development of modern uncertainty quantification techniques provides more advanced methods and tools to facilitate the research on uncertainty analysis for a better understanding of the nature of building energy and associated energy models [7, 8].”
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies (2022, background): “Most of these digital state parameters are calibrated offline, and only a small subset of the structural parameters is dynamically updated online with sensor data, likely to ensure good model identifiability (Arendt et al. 2012).”