Interpretable AI for Short-Term Water Demand Forecasting
Machine learning models such as artificial neural networks (ANNs) are becoming increasingly popular in short-term water demand forecasting. This is because, despite their lack of interpretability, ANNs are able to capture complex interactions between explanatory variables and water consumption bette...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-09-01
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| Schriftenreihe: | Engineering Proceedings |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2673-4591/69/1/101 |
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