Application of LSTM Networks for Water Demand Prediction in Optimal Pump Control

Application of LSTM Networks for Water Demand Prediction in Optimal Pump Control

Every morning, water suppliers need to define their pump schedules for the next 24 h for drinking water production. Plans must be designed in such a way that drinking water is always available and the amount of unused drinking water pumped into the network is reduced. Therefore, operators must accur...

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Bibliographic Details
Main Authors: Christian Kühnert, Naga Mamatha Gonuguntla, Helene Krieg, Dimitri Nowak, Jorge A. Thomas
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Water
Subjects:
decision support systems
long short-term memory networks
transfer and online learning
optimal pump control
time-series prediction
water consumption profiles
Online Access:https://www.mdpi.com/2073-4441/13/5/644

Internet

https://www.mdpi.com/2073-4441/13/5/644

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