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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: Dingtong Wang, Yanning Li, Benwei Hou, Shan Wu
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2024-09-01
Edice:Engineering Proceedings
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On-line přístup:https://www.mdpi.com/2673-4591/69/1/103
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