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) FULL PAPERS : THEME 8- 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 , MATTEO GIULIANI , DARIO PIGA , ANDREA CASTELLETTI , ANDREA RIZZOLI & MARTIN ANDA
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 : 1,027,436 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) FULL PAPERS
Article : THEME 8- SPECIAL SESSIONS
Date Published : 20/04/2016
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