IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Special sessions : Modelling residential water consumers’ behaviors by feature selection and feature weighting
Modelling residential water consumers’ behaviors by feature selection and feature weighting
Author : ANDREA COMINOLA(1), MATTEO GIULIANI(1), DARIO PIGA(2), ANDREA CASTELLETTI(1), ANDREA RIZZOLI(3) & MARTIN ANDA(4)
ABSTRACT
Identifying the most relevant determinants of water consuming or saving behaviors at the household level is key to building
mathematical models that predict urban water demand variability in space and time and to explore the effects of different
Water Demand Management Strategies for the residential sector. This work contributes a novel approach based on
feature selection and feature weighting to model the single-user consumption behavior at the household level. A two-step
procedure consisting of the extraction of the most relevant determinants of users’ consumption and the identification of a
predictive model of water consumers’ profile is proposed and tested on a real case study. Results show the effectiveness
of the proposed method in capturing the influence of candidate determinants on residential water consumption, as well as
in attaining sufficiently accurate predictions of users’ consumption profiles, which constitutes essential information to
support residential water demand management.
File Size : 728,042 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Special sessions
Date Published : 19/08/2015
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