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Urban Water Demand Forecasting Using DeepAR-Models as Part of the Battle of Water Demand Forecasting (BWDF)

The accurate and reliable short-term forecasting of urban water demand plays a crucial role in enabling drinking water utilities to operate sustainably and secure water supplies in the future. Here, we apply state-of-the-art DeepAR models to predict urban water demand in ten district metered areas (...

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Bibliografische gegevens
Hoofdauteurs: Andreas Wunsch, Christian Kühnert, Steffen Wallner, Mathias Ziebarth
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2024-09-01
Reeks:Engineering Proceedings
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Online toegang:https://www.mdpi.com/2673-4591/69/1/25
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