
Open access
Author
Date
2020-09-25Type
- Conference Paper
ETH Bibliography
yes
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Abstract
This paper describes an approach to Multi-Level Bayesian modelling of building energy consumption. A total of six model parameterizations were tested. They address two challenges of predictive models. These are precision and interpretability. The model parametrizations are based on a database of more than 360 thousand building records spread across 96 cities in the United States. The most accurate model had 4-Levels and a MAPE of 13.1%. For demonstration purposes, this model was used to predict the Energy Use Intensity of commercial and residential buildings in the United States until mid-century. The paper described the benefits of the Multi-Level Bayesian approach and lay recommendations for future work. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000445566Publication status
publishedEvent
Organisational unit
08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)
Notes
eSim 2021 is the rescheduled version of eSim 2020More
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ETH Bibliography
yes
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