TY - GEN
T1 - Comparison of short term forecast methods for municipal water use
AU - Jain, Ashu
AU - Ormsbee, Lindell
PY - 1993
Y1 - 1993
N2 - Water utilities routinely develop long range demand forecasts for use in the normal planning activities. In recent years, many utilities have sought to develop more short-term demand forecasts for use in daily operations. In the current study three different short-term (daily) demand models are developed and tested for the city of Lexington, Kentucky. Developed models include a lumped response model, a distributed response model, and a neural network based model.
AB - Water utilities routinely develop long range demand forecasts for use in the normal planning activities. In recent years, many utilities have sought to develop more short-term demand forecasts for use in daily operations. In the current study three different short-term (daily) demand models are developed and tested for the city of Lexington, Kentucky. Developed models include a lumped response model, a distributed response model, and a neural network based model.
UR - https://www.scopus.com/pages/publications/0027260171
UR - https://www.scopus.com/pages/publications/0027260171#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:0027260171
SN - 0872629120
T3 - Water Resources Planning and Management and Urban Water Resources
SP - 649
EP - 652
BT - Water Resources Planning and Management and Urban Water Resources
T2 - Proceedings of the 20th Anniversary Conference on Water Management in the '90s
Y2 - 1 May 1993 through 5 May 1993
ER -