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Text / Technical memorandum 1 : benchmark analysis of regional demand projection models

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Title
Technical memorandum 1 : benchmark analysis of regional demand projection models
Creator
Kiefer, Jack and Wang, Luke
Hazen and Sawyer
Santa Clara Valley Water District
Date Created and/or Issued
2019-12-09
Publication Information
Hazen and Sawyer
Contributing Institution
Santa Clara Valley Water District
Collection
California Revealed from Santa Clara Valley Water District
Rights Information
Copyrighted. Rights are owned by Santa Clara Valley Water District. Copyright Holder has given Institution permission to provide access to the digitized work online. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the Copyright Holder. In addition, the reproduction of some materials may be restricted by terms of gift or purchase agreements, donor restrictions, privacy and publicity rights, licensing and trademarks. 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.
Rights Holder and Contact
Santa Clara Valley Water District
Date of Copyright
2019-12-09
Description
Abstract: The purpose of this Technical Memorandum (TM1) is to support the evaluation of a new demand model through a benchmarking analysis of the modeling approaches used by Valley Water's peer agencies. TM1 is organized by first reviewing a conceptual typology of demand forecasting elements, which is useful in characterizing and comparing the forecasting approaches among water supply utilities. The typology is supported with a detailed discussion of several quantitative methods often used to forecast demand. Given this background and framework, TM1 reviews the forecasting approaches employed by several regional water supply providers and wholesale agencies. -- pages 1-2. Table of Contents: 1. Typology for demand forecasting -- 2. Spectrum of associative and statistical modeling methods -- 3. Forecasting approaches employed by selected Bay Area providers -- 4. Forecasting approaches employed by peer wholesale agencies -- 5. Summary of benchmarking analysis -- Citations.
Type
text
Extent
unknown
1 Pages of 1
Identifier
csjvwd_001180
ark:/13960/t03z9b75g
Language
English
Subject
Water consumption--California--Santa Clara County--Forecasting--Mathematical models
Provenance
Santa Clara Valley Water District Library
California Revealed is supported by the U.S. Institute of Museum and Library Services under the provisions of the Library Services and Technology Act, administered in California by the State Librarian.

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