Feature selection for specific prediction targets at the user level in a district heating network

Abstract With the challenge of district heating network transition as part of the global objective of clean energy, machine learning provides a methodological approach for understanding the relationships between various influencing factors and demand-side properties of district heating networks, whi...

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Bibliographic Details
Main Authors: Samanta A. Weber, Michael Fischlschweiger, Dirk Volta, Jens Geisler
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-15777-0
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