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                                       Details for article 30 of 48 found articles
 
 
  Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks
 
 
Title: Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks
Author: Du, Baigang
Huang, Shuo
Guo, Jun
Tang, Hongtao
Wang, Lei
Zhou, Shengwen
Appeared in: Applied soft computing
Paging: Volume 122 () nr. C pages p.
Year: 2022
Contents:
Publisher: Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 30 of 48 found articles
 
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