Short-term demand forecast using a bank of neural network models trained using genetic algorithms fo...
Short-term demand forecast using a bank of neural network models trained using genetic algorithms for the optimal management of drinking water networks
About this item
Full title
Author / Creator
Publisher
London: IWA Publishing
Journal title
Language
English
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Publisher
London: IWA Publishing
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Scope and Contents
Contents
Efficient management of a drinking water network reduces the economic costs related to water production and transport (pumping). Model predictive control (MPC) is nowadays a quite well-accepted approach for the efficient management of the water networks because it allows formulating the control problem in terms of the optimization of the economic c...
Alternative Titles
Full title
Short-term demand forecast using a bank of neural network models trained using genetic algorithms for the optimal management of drinking water networks
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_csuc_recercat_oai_recercat_cat_2072_308913
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_csuc_recercat_oai_recercat_cat_2072_308913
Other Identifiers
ISSN
1464-7141
E-ISSN
1465-1734
DOI
10.2166/hydro.2016.199
