Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps

Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps

Technological improvements are crucial for achieving decarbonisation targets and addressing the impacts of climate change in the built environment via mitigation and adaptation measures. Data-driven methods for building performance prediction are particularly important in this regard. Nevertheless,...

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Bibliographic Details
Main Authors: Massimiliano Manfren, Karla M. Gonzalez-Carreon, Patrick A. B. James
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Energies
Subjects:
energy transitions
energy modelling
building performance
data-driven methods
interpretability
explainability
Online Access:https://www.mdpi.com/1996-1073/17/4/881

Internet

https://www.mdpi.com/1996-1073/17/4/881

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