- -

On-line learning of predictive kernel models for urban water demand in a smart city

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

On-line learning of predictive kernel models for urban water demand in a smart city

Show full item record

Herrera Fernández, AM.; Izquierdo Sebastián, J.; Pérez García, R.; Ayala Cabrera, D. (2014). On-line learning of predictive kernel models for urban water demand in a smart city. Procedia Engineering. 70:791-799. doi:10.1016/j.proeng.2014.02.086

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/58309

Files in this item

Item Metadata

Title: On-line learning of predictive kernel models for urban water demand in a smart city
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
Abstract:
[EN] This paper proposes a multiple kernel regression (MKr) to predict water demand in the presence of a continuous source of infor- mation. MKr extends the simple support vector regression (SVR) to a combination of kernels ...[+]
Subjects: Smart cities , Urban water demand , Kernel regression , On-line learning
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Procedia Engineering. (eissn: 1877-7058 )
DOI: 10.1016/j.proeng.2014.02.086
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.proeng.2014.02.086
Conference name: 12th International Conference on Computing-and-Control-for-the-Water-Industry (CCWI)
Conference place: Perugia, Italy
Conference date: September 02-04, 2013
Thanks:
This work has been supported by project IDAWAS, DPI2009- 11591, of the Direccion General de Investigacion of the Ministerio de Ciencia e Innovacion of Spain, and ACOMP/ 2011/ 188 of the Conselleria d'Educacio of the ...[+]
Type: Artículo Comunicación en congreso

This item appears in the following Collection(s)

Show full item record