Forecasting Water Demand in Residential, Commercial, and Industrial Zones in Bogotá, Colombia, Using Least-Squares Support Vector Machines
Joint Authors
Peña-Guzmán, Carlos
Melgarejo, Joaquín
Prats, Daniel
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The Colombian capital, Bogotá, has undergone massive growth in a short period of time.
Naturally, this growth has increased the city’s water demand.
The prediction of this demand will help understand and analyze consumption behavior, thereby allowing for effective management of the urban water cycle.
This paper uses the Least-Squares Support Vector Machines (LS-SVM) model for forecasting residential, industrial, and commercial water demand in the city of Bogotá.
The parameters involved in this study include the following: monthly water demand, number of users, and total water consumption bills (price) for the three studied uses.
Results provide evidence of the model’s accuracy, producing R2 between 0.8 and 0.98, with an error percentage under 12%.
American Psychological Association (APA)
Peña-Guzmán, Carlos& Melgarejo, Joaquín& Prats, Daniel. 2016. Forecasting Water Demand in Residential, Commercial, and Industrial Zones in Bogotá, Colombia, Using Least-Squares Support Vector Machines. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112350
Modern Language Association (MLA)
Peña-Guzmán, Carlos…[et al.]. Forecasting Water Demand in Residential, Commercial, and Industrial Zones in Bogotá, Colombia, Using Least-Squares Support Vector Machines. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112350
American Medical Association (AMA)
Peña-Guzmán, Carlos& Melgarejo, Joaquín& Prats, Daniel. Forecasting Water Demand in Residential, Commercial, and Industrial Zones in Bogotá, Colombia, Using Least-Squares Support Vector Machines. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112350
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112350