Identifying the validity domain of machine learning models in building energy systems

Identifying the validity domain of machine learning models in building energy systems

The building sector significantly contributes to climate change. To improve its carbon footprint, applications like model predictive control and predictive maintenance rely on system models. However, the high modeling effort hinders practical application. Machine learning models can significantly re...

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Bibliographic Details
Main Authors: Martin Rätz, Patrick Henkel, Phillip Stoffel, Rita Streblow, Dirk Müller
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Energy and AI
Subjects:
Extrapolation detection
Validity domain
Novelty detection
Machine learning
Artificial neural network
Data-driven model predictive control
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546823000964

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http://www.sciencedirect.com/science/article/pii/S2666546823000964

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