Detection of unauthorized consumption in water supply systems: A case study using logistic regression

Kairo Pereira Teodoro da Silva, Andreza Kalbusch and Elisa Henning

Utilities Policy, 2023, vol. 84, issue C

Abstract: This study proposes characterizing unauthorized water consumption and fitting multiple logistic regression models for detecting illegal connections. The research used monthly water consumption data from 42,131 single-family homes in Joinville, southern Brazil. The obtained models achieved accuracies ranging from 83% to 100% for detecting three types of fraud (unauthorized reconnection of a disconnected water service line, bypass, and direct connection). The results showed previous minor violations, tampering with water meters and stands, and non-compliance of meter installation with utility standards are related to illegal connections.

Keywords: Fraud; Unauthorized water consumption; Multiple logistic regression (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:84:y:2023:i:c:s0957178723001595

DOI: 10.1016/j.jup.2023.101647

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