@article{tian2011energy,
  title={Energy use of buildings at urban scale: a case study of London school buildings},
  author={Tian, Wei and Choudhary, Ruchi and Initiative, Energy Efficient Cities},
  journal={Proceedings of building simulation 2011: 12th conference of international building performance simulation association, Sydney, November},
  pages={14--16},
  year={2011},
  abstract={The diversity of non-domestic buildings at urban scale poses a number of difficulties to develop building stock models. This research proposes an engineering-based bottom-up stock model in a probabilistic manner to address these issues. School buildings are used for illustrating the application of this probabilistic method. Two sampling-based global sensitivity methods are used to identify key factors affecting building energy performance. The sensitivity analysis methods can also create statistical regression models for inverse analysis, which are used to estimate input information for building stock energy models. The effects of different energy saving measures are analysed by changing these building stock input distributions.}
}

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