Work

Characterization of Water Consumers in Urban Areas Using Artificial Intelligence and Data Analysis

Year: 2024

Type: conference-paper

Abstract: This work presents the first steps of the integration of AI techniques in the field of urban water management, more precisely in the line of urban consumption forecasting and user characterization. For this purpose, different data visualization and clustering techniques are applied and the results are compared, in order to study which ones are more suitable for pattern extraction and detection. The resulting user profiles are then contrasted to determine common characteristics among the same group members and differences among others. Average daily consumption and variability are proposed as the variables on which the characterization is based.

DOI: 10.17979/spudc.9788497498913.22

Authors: Manuel Rubiños, Marta-María Álvarez-Crespo, Francisco Zayas-Gato, José Luis Calvo Rolle

Institution: Universidade da Coruña

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Clean water and sanitation, Sustainable cities and communities

Open Access status: gold

Funders: European Commission, Xunta de Galicia, Instituto Nacional de Ciberseguridad, Agencia Estatal de Investigación