Baseline Energy Use Modeling and Characterization in Tertiary Buildings Using an Interpretable Bayesian Linear Regression Methodology
Interpretable and scalable data-driven methodologies providing high granularity baseline predictions of energy use in buildings are essential for the accurate measurement and verification of energy renovation projects and have the potential of unlocking considerable investments in energy efficiency...
Main Authors: | Benedetto Grillone, Gerard Mor, Stoyan Danov, Jordi Cipriano, Florencia Lazzari, Andreas Sumper |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/17/5556 |
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