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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| 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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