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Real-time Monitoring and Operational Control of Drinking-Water Systems

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Cover of 'Real-time Monitoring and Operational Control of Drinking-Water Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Real-Time Monitoring and Control in Water Systems
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    Chapter 2 Case Studies
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    Chapter 3 Modelling and Simulation of Drinking-Water Networks
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    Chapter 4 Parameter Estimation: Definition and Sampling Design
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    Chapter 5 Parameter Estimation: Online Calibration
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    Chapter 6 Demand Forecasting for Real-Time Operational Control
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    Chapter 7 Leak Monitoring
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    Chapter 8 Quality Monitoring
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    Chapter 9 Sensor Placement for Monitoring
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    Chapter 10 Sensor Data Validation and Reconstruction
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    Chapter 11 Fault Diagnosis
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    Chapter 12 Model Predictive Control of Water Networks Considering Flow
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    Chapter 13 Model Predictive Control of Water Networks Considering Flow and Pressure
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    Chapter 14 Stochastic Model Predictive Control for Water Transport Networks with Demand Forecast Uncertainty
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    Chapter 15 Fault-Tolerant Model Predictive Control of Water Transport Networks
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    Chapter 16 Partitioning Approaches for Large-Scale Water Transport Networks
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    Chapter 17 Non-centralized Predictive Control for Drinking-Water Supply Systems
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    Chapter 18 Data-Driven Evolutionary-Game-Based Control for Drinking-Water Networks
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    Chapter 19 Coordinating Regional and Urban Water Networks
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    Chapter 20 Big Data Analytics and Knowledge Discovery Applied to Automatic Meter Readers
Attention for Chapter 18: Data-Driven Evolutionary-Game-Based Control for Drinking-Water Networks
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Citations

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Chapter title
Data-Driven Evolutionary-Game-Based Control for Drinking-Water Networks
Chapter number 18
Book title
Real-time Monitoring and Operational Control of Drinking-Water Systems
Published by
Springer International Publishing, May 2017
DOI 10.1007/978-3-319-50751-4_18
Book ISBNs
978-3-31-950750-7, 978-3-31-950751-4
Authors

Julián Barreiro-Gomez, Gerardo Riaño-Briceño, Carlos Ocampo-Martínez, Nicanor Quijano

Editors

Vicenç Puig, Carlos Ocampo-Martínez, Ramon Pérez, Gabriela Cembrano, Joseba Quevedo, Teresa Escobet

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 20%
Student > Ph. D. Student 2 20%
Student > Bachelor 1 10%
Other 1 10%
Professor 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Engineering 4 40%
Environmental Science 1 10%
Agricultural and Biological Sciences 1 10%
Business, Management and Accounting 1 10%
Unknown 3 30%