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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Water engineering : A convex optimization approach for automated water and energy end use
A convex optimization approach for automated water and energy end use
Author : DARIO PIGA (1), ANDREA COMINOLA(2), MATTEO GIULIANI(2), ANDREA CASTELLETTI(2), & ANDREA EMILIO RIZZOLI(3)
ABSTRACT
A detailed knowledge of water consumption at an end-use level is an essential requirement to design and evaluate the
efficiency of water saving policies. In the last years, this has led to the development of automated tools to disaggregate
high resolution water consumption data at the household level into end use categories. In this work, a new disaggregation
algorithm is presented. The proposed algorithm is based on the assumption that the disaggregated signals to be identified
are piecewise constant over the time and it exploits the information on the time-of-day probability in which a specific water
use event might occur. The disaggregation problem is formulated as a convex optimization problem, whose solution can
be efficiently computed through numerical solvers. Specifically, the disaggregation problem is treated as a least-square
error minimization problem, with an additional (convex) penalty term aiming at enforcing the disaggregate signals to be
piece-wise constant over the time. The proposed disaggregation algorithm has been initially tested against household
electricity data available in the literature. The obtained results look promising and similar results are expected to be
obtained for water data.
File Size : 771,954 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Water engineering
Date Published : 18/08/2015
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