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Hybrid regression model for near real-time urban water demand forecasting

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Hybrid regression model for near real-time urban water demand forecasting

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Brentan, BM.; Luvizotto, E.; Herrera Fernández, AM.; Izquierdo Sebastián, J.; Pérez García, R. (2017). Hybrid regression model for near real-time urban water demand forecasting. Journal of Computational and Applied Mathematics. 309:532-541. doi:10.1016/j.cam.2016.02.009

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/105819

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Title: Hybrid regression model for near real-time urban water demand forecasting
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] The most important factor in planning and operating water distribution systems is satisfying consumer demand. This means continuously providing users with quality water in adequate volumes at reasonable pressure, thus ...[+]
Subjects: Demand forecasting , Water supply , Fourier series , Support vector regression , Near real-time algorithms
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Journal of Computational and Applied Mathematics. (issn: 0377-0427 )
DOI: 10.1016/j.cam.2016.02.009
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.cam.2016.02.009
Conference name: Mathematical Modelling in Engineering & Human Behaviour 2015. 17th Edition of the Mathematical Modelling Conference Series at the Institute for Multidisciplinary Mathematics
Conference place: Valencia, Spain
Conference date: Septiembre 09-11,2015
Thanks:
This work has been partially supported by CAPES Foundation of Brazil’s Ministry of Education. The data were provided by SABESP, São Paulo state water management company.
Type: Artículo Comunicación en congreso

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