Open AccessShort-term forecasting of monthly water consumption in hyper-arid climate using recurrent neural networks
Author(s) -
Abdullah A. Alsumaiei
Publication year - 2021
Publication title -
journal of engineering research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.168
H-Index - 9
eISSN - 2307-1885
pISSN - 2307-1877
DOI - 10.36909/jer.v9i3b.10893
Subject(s) - nonlinear autoregressive exogenous model , autoregressive model , arid , environmental science , water resources , econometrics , time series , population , term (time) , artificial neural network , recurrent neural network , water supply , climatology , computer science , statistics , mathematics , environmental engineering , artificial intelligence , ecology , quantum mechanics , sociology , biology , geology , physics , demography
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