@article{yamaguchi2013urban,
  title={Urban-scale energy modeling of food supermarket considering uncertainty},
  author={Yamaguchi, Yohei and Choudhary, R and Booth, A and Suzuki, Y and Shimoda, Yoshiyuki},
  journal={The proceedings of BS},
  year={2013}
,
abstract = { This paper proposes a methodology to develop an urban scale model of energy use of buildings. this methodology addresses the diversity in energy use through two approaches: classification of the building stock and archetype modelling; supported by Bayesian calibration. The Bayesian approach allows quantification of uncertainties in model input parameters.  We designed a hierarchical calibration so that uncertain input model parameters are calibrated for different time resolutions of analysis. We validated the calibration process by applying it to a food supermarket building stock in a region as a case study. The results generally showed that the proposed approach enables urban scale models to take into account not only the overall characteristics of the building stock represented by annual energy consumption but also the influence of meteorological conditions shown in the variation of weekly energy consumption}                                                                                                                                                                                                                                                                            
}

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