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

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
Main Authors: Hossein Namdari, Seyed Mohammad Ashrafi, Ali Haghighi
Format: Article
Language:English
Published: IWA Publishing 2024-03-01
Series:Aqua
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

Internet

http://aqua.iwaponline.com/content/73/3/380

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