Record Details
Field | Value |
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Title | Implications of Data Sampling Resolution on Water Use Simulation, End-Use Disaggregation, And Demand Management |
Creator | Cominola, A. Giuliani, M. Castelletti, A. Rosenberg, David E. Abdallah, Adel M. |
Description | Understanding the tradeoff between the information of high-resolution water use data and the costs of smart meters to collect data with sub-minute resolution is crucial to inform smart meter networks. To explore this tradeoff, we first present STREaM, a STochastic Residential water End-use Model that generates synthetic water end-use time series with 10-s and progressively coarser sampling resolutions. Second, we apply a comparative framework to STREaM output and assess the impact of data... |
Date | 2018-04-01T07:00:00Z |
Type | text |
Format | application/pdf |
Identifier | https://digitalcommons.usu.edu/cee_facpub/3587 info:doi/10.1016/j.envsoft.2017.11.022 https://digitalcommons.usu.edu/context/cee_facpub/article/4588/viewcontent/ENVSOFT_2017_466_manuscriptR1_NoMarkedChanges.pdf |
Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. |
Source | Civil and Environmental Engineering Faculty Publications |
Publisher | Hosted by Utah State University Libraries |
Contributor | Elsevier |
Subject | smart meter sampling resolution water demand management STREaM synthetic end-use model Civil and Environmental Engineering |