Work

Smart Meter Data Analysis: Modelling And Clustering Patterns In Water Distribution Systems

Year: 2025

Type: conference-paper

Abstract: Water utilities increasingly require a deeper understanding of users' water demand to optimize resource management and meet customer needs. The adoption of smart metering solutions enables the collection of detailed consumption data. This study presents a methodology for identifying usage patterns by analysing smart meter data. In particular, the authors introduce a machine learning methodology to identify user profiles from smart meter water consumption data. Clustering results are graphically interpreted and compared, providing insights into consumption habits and assessing the methodology's effectiveness and stability.

DOI: 10.7148/2025-0353

Authors: Mariaelena Berlotti, Sarah Di Grande, Salvatore Cavalieri, Roberto Gueli

Institution: University of Catania

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: gold

Funder: Università di Catania

OpenAlex ID: W4412597745