Enhancing Water Demand Forecasting: Leveraging LSTM Networks for Accurate Predictions
This study aims to create a reliable water-demand forecasting system using Long Short-Term Memory networks. The model integrates hourly water demands from 10 District Metered Areas of a Water Distribution Network in northeast Italy and weather data, handling missing values with LSTM-based data imput...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2024-09-01
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| Serier: | Engineering Proceedings |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2673-4591/69/1/120 |
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