Uncertainty and sensitivity decomposition of building energy models
By Bryan A. Eisenhower, Zheng O'Neill, Vladimir A. Fonoberov, Igor Mezi'c. 2012
203 citations recorded by the source corpus.
Subfields: Building and Construction, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/161b126e182b43a7a082b6c2c878aeca7c0aaf13
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In Environmental Engineering
In Statistics and Probability
Citations in the corpus
- A review of methods to match building energy simulation models to measured data (2014, unknown): “[64–68]”
- A review of uncertainty analysis in building energy assessment (2018, methodology): “[126] Eisenhower B, O'Neill Z, Fonoberov VA, Mezić I.”
- A performance comparison of sensitivity analysis methods for building energy models (2015, background): “In Eisenhower et al. (2012), the authors proposed and applied a decomposition of sensitivity indices to quantify which intermediate processes (e.g. Air handling unit, heating sources, cooling sources…) contributed the most to the uncertainty of building simulation outputs.”