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Repo for MOBC paper. After all the work is done and the repo is cleaned, will make the repo open to the public
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# Quantifying the effects of different data streams on the calibration of building energy simulation
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## Introduction
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This repository presents the documents and the code employed in our latest work "Quantifying the effects of different data streams on the calibration of building energy simulation". This study investigates and quantifies the impacts of inputs and outputs on Bayesian calibration performance of building energy modelling. The research incorporates both single-output and multiple-output Bayesian calibration.
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More details can be found in [our paper](https://to_be_added):
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> Yaonan Gu, Wei Tian, Chao Song and Adrian Chong (2023).
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> *Quantifying the effects of different data streams on the calibration of building energy simulation*.
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