Short-Term Water Demand Forecasting Based on LSTM Using Multi-Input Data
This study presents a forecasting framework for the hourly water demand of district metered areas (DMAs) based on a bidirectional long short-term memory (LSTM) model which is a participant in the Battle of Water Demand Forecasting (BWDF) during the 3rd WDSA/CCWI Joint Conference. The framework consi...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2024-09-01
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| Edice: | Engineering Proceedings |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/2673-4591/69/1/103 |
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