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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| Main Authors: | Andreas Wunsch, Christian Kühnert, Steffen Wallner, Mathias Ziebarth |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/69/1/25 |
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