Assessment of ERA5-Land Data in Medium-Term Drinking Water Demand Modelling with Deep Learning

Drinking water demand modelling and forecasting is a crucial task for sustainable management and planning of water supply systems. Despite many short-term investigations, the medium-term problem needs better exploration, particularly the analysis and assessment of meteorological data for forecasting...

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Veröffentlicht in:	Water (Basel) 2023-04, Vol.15 (8), p.1495
Hauptverfasser:	Dhawan, Pranav, Dalla Torre, Daniele, Zanfei, Ariele, Menapace, Andrea, Larcher, Michele, Righetti, Maurizio
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bias Case studies Climate change Climate models Computer architecture Datasets Deep learning Drinking water Forecasting Ground stations Humidity Long short-term memory Machine learning Management Meteorological data Multivariate analysis Neural networks Precipitation Rain Real property Sustainability management Time series Valuation Water Water conveyance Water demand Water distribution Water distribution systems Water engineering Water management Water shortages Water supply Water supply systems Weather Weather forecasting
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