Design of Experiments: Statistical Confidence with Fewer Simulations

The increasing use of parametric ensembles with building energy models to study sensitivity and accommodate uncertainty has the potential to greatly inform energy studies, but can be mitigated by low statistical confidence from poor experimental design. In this talk, we present the tradeoffs between common statistical approaches to design of experiments and how they can be used in cloud or supercomputing resources.