Work

Sensor Placement and State Estimation in Water Distribution Systems Using Edge Gaussian Processes

Year: 2024

Type: conference-paper

Abstract: The operation of water distribution systems is based on reliable knowledge about the steady state of the system. This involves sensors to measure flow, facilitating a comprehensive overview of the system’s performance. Given the costs associated with sensor installation and operation, it is important to be strategic with sensor allocation. Recently developed Gaussian Processes with topological kernels can efficiently model mass and energy conservative flows and provide uncertainty bounds. Our work proposes a novel method of state estimation and a greedy search algorithm for water flow meter placement based on the uncertainty bounds provided by a Gaussian Process.

DOI: 10.3390/engproc2024069150

Authors: Bulat Kerimov, Vincent Pons, Spyros Pritsis, Riccardo Taormina, Franz Tscheikner-Gratl

Institutions: Norwegian University of Science and Technology, Delft University of Technology

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Clean water and sanitation, Industry, innovation and infrastructure

Open Access status: gold

Funder: Technische Universiteit Delft

OpenAlex ID: W4402647947

FWCI: 3.37

Cites: 6

Cited by: 2

Related to: 10