Risk analysis of energy-efficiency projects based on Bayesian calibration of building energy models. Heo, Y., Augenbroe, G., & Choudhary, R. Building simulation, 2011.
abstract   bibtex   
This paper presents a risk analysis method based on Bayesian calibration of building energy models. The Bayesian approach enables probabilistic outputs from the energy model, which are used to quantify risks associated with investing in energy conservation measures in existing buildings. This paper demonstrates the applicability of the proposed methodology to support energy saving contracts in the context of the ESCO industry. A case study illustrates the importance of quantifying relative risks by comparing the probabilistic outputs derived from the Bayesian approach to standard practices endorsed by International Performance Measurement and Verification Protocol and ASHRAE guideline 14.
@article{heo2011risk,
  title={Risk analysis of energy-efficiency projects based on Bayesian calibration of building energy models},
  author={Heo, Yeonsook and Augenbroe, Godfried and Choudhary, Ruchi},
  journal={Building simulation},
  pages={2579--2586},
  year={2011},
  abstract={This paper presents a risk analysis method based on Bayesian calibration of building energy models. The Bayesian approach enables probabilistic outputs from the energy model, which are used to quantify risks associated with investing in energy conservation measures in existing buildings. This paper demonstrates the applicability of the proposed methodology to support energy saving contracts in the context of the ESCO industry. A case study illustrates the importance of quantifying relative risks by comparing the probabilistic outputs derived from the Bayesian approach to standard practices endorsed by International Performance Measurement and Verification Protocol and ASHRAE guideline 14.}
}

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