scholarly journals Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems

2020 ◽  
Vol 146 (11) ◽  
pp. 04020079
Author(s):  
Gergely Hajgató ◽  
György Paál ◽  
Bálint Gyires-Tóth
Keyword(s):  
Reinforcement Learning ◽  
Real Time ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Time Optimization ◽  
Real Time Optimization

Self‐Adaptive Calibration of Real‐Time Demand and Roughness of Water Distribution Systems

2018 ◽  
Vol 54 (8) ◽  
pp. 5536-5550 ◽  
Author(s):  
Xiao Zhou ◽  
Weirong Xu ◽  
Kunlun Xin ◽  
Hexiang Yan ◽  
Tao Tao
Keyword(s):  
Real Time ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Adaptive Calibration ◽  
Self Adaptive

Robustness of Parameter-Less Remote Real-Time Pressure Control in Water Distribution Systems

2018 ◽  
pp. 449-463
Author(s):  
Philip R. Page ◽  
Adnan M. Abu-Mahfouz ◽  
Olivier Piller ◽  
Matome L. Mothetha ◽  
Muhammad S. Osman
Keyword(s):  
Real Time ◽  
Distribution Systems ◽  
Water Distribution ◽  
Time Pressure ◽  
Water Distribution Systems ◽  
Pressure Control

scholarly journals Evaluation of Select Sensors for Real-Time Monitoring of Escherichia coli in Water Distribution Systems

2011 ◽  
Vol 77 (8) ◽  
pp. 2813-2816 ◽  
Author(s):  
Syreeta L. Miles ◽  
Ryan G. Sinclair ◽  
Mark R. Riley ◽  
Ian L. Pepper
Keyword(s):  
Escherichia Coli ◽  
Real Time ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Warning System ◽  
Quality Changes ◽  
Microbial Water Quality ◽  
Content Type ◽  
E Coli

ABSTRACTThis study evaluated real-time sensing ofEscherichia colias a microbial contaminant in water distribution systems. Most sensors responded to increasedE. coliconcentrations, showing that select sensors can detect microbial water quality changes and be utilized as part of a contaminant warning system.

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