Use of Recurrent Neural Network with Long Short-Term Memory for Seepage Prediction at Tarbela Dam, KP, Pakistan

Estimating the quantity of seepage through the foundation and body of a dam using proper health and safety monitoring is critical to the effective management of disaster risk in a reservoir downstream of the dam. In this study, a deep learning model was constructed to predict the extent of seepage t...

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Detalhes bibliográficos
Main Authors: Muhammad Ishfaque, Qianwei Dai, Nuhman ul Haq, Khanzaib Jadoon, Syed Muzyan Shahzad, Hammad Tariq Janjuhah
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-04-01
Colecção:Energies
Assuntos:
dam seepage
deep learning
recurrent neural network
LSTM
prediction
time series data
Acesso em linha:https://www.mdpi.com/1996-1073/15/9/3123
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