Short-Term Water Demand Forecasting from Univariate Time Series of Water Reservoir Stations

This study presents an improved data-centric approach to short-term water demand forecasting using univariate time series from water reservoir levels. The dataset comprises water level recordings from 21 reservoirs in Eastern Thessaloniki collected over 15 months via a SCADA system provided by the w...

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Bibliografiska uppgifter

Huvudupphov:	Georgios Myllis, Alkiviadis Tsimpiris, Vasiliki Vrana
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-10-01
Serie:	Information
Ämnen:	water demand forecasting univariate time series anomaly detection LSTM networks data preprocessing data imputation
Länkar:	https://www.mdpi.com/2078-2489/15/10/605
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