Space-Time Forecasting Using Soft Geostatistics: A Case Study in Forecasting Municipal Water Demand for Phoenix, Arizona

Seung-Jae Lee; Elizabeth Wentz; Patricia Gober

doi:10.1007/s00477-009-0317-z

Space-Time Forecasting Using Soft Geostatistics: A Case Study in Forecasting Municipal Water Demand for Phoenix, Arizona

Seung-Jae Lee
, Elizabeth Wentz
, Patricia Gober

Strategic Energy Analysis Center

National Renewable Energy Laboratory
University of Arizona

Research output: Contribution to journal › Article › peer-review

Original language	American English
Pages (from-to)	283-295
Number of pages	13
Journal	Stochastic Environmental Research and Risk Assessment
Volume	24
Issue number	2
DOIs	https://doi.org/10.1007/s00477-009-0317-z
State	Published - 2010

NLR Publication Number

NREL/JA-6A2-47588

Keywords

Arizona
bayesian maximun entropy
municipal water
Phoenix
water use

Access to Document

10.1007/s00477-009-0317-z

Cite this

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title = "Space-Time Forecasting Using Soft Geostatistics: A Case Study in Forecasting Municipal Water Demand for Phoenix, Arizona",

keywords = "Arizona, bayesian maximun entropy, municipal water, Phoenix, water use",

author = "Seung-Jae Lee and Elizabeth Wentz and Patricia Gober",

year = "2010",

doi = "10.1007/s00477-009-0317-z",

language = "American English",

volume = "24",

pages = "283--295",

journal = "Stochastic Environmental Research and Risk Assessment",

issn = "1436-3240",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "2",

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T1 - Space-Time Forecasting Using Soft Geostatistics: A Case Study in Forecasting Municipal Water Demand for Phoenix, Arizona

AU - Lee, Seung-Jae

AU - Wentz, Elizabeth

AU - Gober, Patricia

PY - 2010

Y1 - 2010

KW - Arizona

KW - bayesian maximun entropy

KW - municipal water

KW - Phoenix

KW - water use

U2 - 10.1007/s00477-009-0317-z

DO - 10.1007/s00477-009-0317-z

M3 - Article

SN - 1436-3240

VL - 24

SP - 283

EP - 295

JO - Stochastic Environmental Research and Risk Assessment

JF - Stochastic Environmental Research and Risk Assessment

IS - 2

ER -