Deep learning–based short-term water demand forecasting in urban areas: A hybrid multichannel model

Forecasting short-term water demands is one of the most critical needs of operating companies of urban water distribution networks. Water demands have a time series nature, and various factors affect their variations and patterns, which make it difficult to forecast. In this study, we first implemen...

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Bibliographic Details

Published in:	Aqua
Main Authors:	Hossein Namdari, Seyed Mohammad Ashrafi, Ali Haghighi
Format:	Article
Language:	English
Published:	IWA Publishing 2024-03-01
Subjects:	convolutional neural networks forecasting short-term water demand gru hybrid multichannel deep learning lstm recurrent neural networks
Online Access:	http://aqua.iwaponline.com/content/73/3/380