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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Majid Gholami Shirkoohi, Mouna Doghri, Sophie Duchesne
Format: article
Langue:EN
Publié: IWA Publishing 2021
Sujets:
Accès en ligne:https://doaj.org/article/578f40e218044c579c04269965ef2c78
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!