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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Autors principals:	Dingtong Wang, Yanning Li, Benwei Hou, Shan Wu
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-09-01
Col·lecció:	Engineering Proceedings
Matèries:	short-term water demand water demand forecasting long short-term memory weather factor correction
Accés en línia:	https://www.mdpi.com/2673-4591/69/1/103
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