Open AccessA short-term water demand forecasting model using multivariate long short-term memory with meteorological data
Author(s) -
Ariele Zanfei,
Bruno Brentan,
Andrea Menapace,
Maurizio Righetti
Publication year - 2022
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2022.055
Subject(s) - term (time) , computer science , context (archaeology) , multivariate statistics , water resources , artificial neural network , key (lock) , demand forecasting , perceptron , multilayer perceptron , deep learning , artificial intelligence , long short term memory , data mining , machine learning , recurrent neural network , operations research , engineering , geography , ecology , physics , computer security , archaeology , quantum mechanics , biology
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