Baseline Energy Use Modeling and Characterization in Tertiary Buildings Using an Interpretable Bayesian Linear Regression Methodology

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...

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Bibliographic Details
Main Authors: Benedetto Grillone, Gerard Mor, Stoyan Danov, Jordi Cipriano, Florencia Lazzari, Andreas Sumper
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Energies
Subjects:
Bayesian
baseline
energy
efficiency
probabilistic
uncertainty
Online Access:https://www.mdpi.com/1996-1073/14/17/5556

Internet

https://www.mdpi.com/1996-1073/14/17/5556

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