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AI-Forecast: an innovative and practical tool for short-term water demand forecasting

Authors :
Zanfei, Ariele
Lombardi, Andrea
De Luca, Alberto
Menapace, Andrea
Source :
Water Science and Technology: Water Supply; April 2024, Vol. 24 Issue: 4 p1352-1363, 12p
Publication Year :
2024

Details

Language :
English
ISSN :
16069749 and 16070798
Volume :
24
Issue :
4
Database :
Supplemental Index
Journal :
Water Science and Technology: Water Supply
Publication Type :
Periodical
Accession number :
ejs66198655
Full Text :
https://doi.org/10.2166/ws.2024.055