CALIBRO : an R package for the automatic calibration of building energy simulation models

Monari, Filippo and Strachan, Paul (2017) CALIBRO : an R package for the automatic calibration of building energy simulation models. In: Building Simulation 2017, 2017-08-07 - 2017-08-09, Hyatt Regency Embarcadero.

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    Abstract

    Bayesian probability theory offers a powerful framework for the calibration of building energy models (Bayesian calibration). The major issues impeding its routine adoption are its steep learning curve, and the complicated setting up of the required calculation. This paper introduces CALIBRO, an R package which has the objective of facilitating the undertaking of Bayesian calibration of building energy models. An overview of the techniques and procedures involved in CALIBRO is given, as well as demonstrations of its capability and reliability through two examples.

    Author(s):Monari, Filippo ORCID logoORCID: https://orcid.org/0000-0003-4181-2884 and Strachan, Paul ORCID logoORCID: https://orcid.org/0000-0003-4280-2880
    Item type:Conference or Workshop Item(Paper)
    ID code:62081
    Keywords:CALIBRO, building energy models, building energy simulation (BES), Bayesian probability theory, Bayesian calibration, Building construction, Mechanical engineering and machinery, Building and Construction, Mechanical Engineering
    Subjects:Technology > Building construction
    Technology > Mechanical engineering and machinery
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Depositing user: Pure Administrator
    Date deposited:19 Oct 2017 09:28
    Last modified:11 Jan 2020 05:39
    URI:https://strathprints.strath.ac.uk/id/eprint/62081
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