Forecasting Hourly Water Demands With Seasonal Autoregressive Models for Real‐Time Application
Author:
Affiliation:
1. Environmental Engineering Program, Department of Chemical and Environmental EngineeringUniversity of CincinnatiCincinnati OH USA
Funder
NSF
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017WR022007
Reference37 articles.
1. Arandia‐Perez E.(2013).Spatial‐temporal statistical modeling of treated drinking water usage(PhD thesis). Cincinnati OH: Department of Biomedical Chemical and Environmental Engineering University of Cincinnati.
2. Tailoring seasonal time series models to forecast short‐term water demand;Arandia‐Perez E.;Journal of Water Resources Planning and Management,2016
3. A multi-scale relevance vector regression approach for daily urban water demand forecasting
4. Dynamic Forecast of Daily Urban Water Consumption Using a Variable-Structure Support Vector Regression Model
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