Short-term water demand predictions coupling an artificial neural network model and a genetic algorithm

Short-term water demand predictions coupling an artificial neural network model and a genetic algorithm

The application of artificial neural network (ANN) models for short-term (15 min) urban water demand predictions is evaluated. Optimization of the ANN model's hyperparameters with a genetic algorithm (GA) and use of a growing window approach for training the model are also evaluated. The result...

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Detalles Bibliográficos
Autores principales: Majid Gholami Shirkoohi, Mouna Doghri, Sophie Duchesne
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
Materias:
artificial neural network
genetic algorithm
hyperparameter optimization
short term
time series model
urban water demand prediction
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
Acceso en línea:https://doaj.org/article/578f40e218044c579c04269965ef2c78
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https://doaj.org/article/578f40e218044c579c04269965ef2c78

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