Hybrid regression model for near real-time urban water demand forecasting.
Bruno M. BrentanEdevar Luvizotto Jr.Manuel HerreraJoaquín IzquierdoRafael Pérez-GarcíaPublished in: J. Comput. Appl. Math. (2017)
Keyphrases
- regression model
- demand forecasting
- water resources
- regression analysis
- model selection
- regression methods
- multivariate regression
- prediction model
- support vector regression
- linear regression model
- historical data
- explanatory variables
- interval valued data
- control system
- water quality
- response variable
- forecasting accuracy
- learning algorithm
- classification accuracy
- high dimensional