Table 1 Highlights of linear and nonlinear short-term forecasting models
From: Short-term water demand forecasting using hybrid supervised and unsupervised machine learning model
Model Category | Performance | Purpose | Reference Number |
|---|---|---|---|
Linear | Standalone | Forecasting daily urban water demand | (Zhou et al. 2000; Maidment and Miaou 1986; Maidment et al. 1985; Perry 1981; Hughes 1980) |
Nonlinear | Standalone | Short-term water demand forecast | (Bennett et al. 2013; Boguadis et al. 2005; Adamowski and Karapataki 2010; Adamowski et al. 2012; Tiwari and Adamowski 2015; Mitrea et al. 2009; Ghiassi et al. 2008; Ghiassi et al. 2005; Hippert et al. 2001; Jain et al. 2001; Cutore et al. 2008; Nasseri et al. 2011) |
Hybrid | Short-term river flow forecast | (Shamseldin and O’Connor 2001) | |
Hybrid | Short-term rainfall-runoff forecast | (Abebe and Price 2003) | |
Hybrid | Forecast step-ahead for a power system | (Hiroyuki et al. 2001) | |
Hybrid | Forecast the electric load | (Mori and Takahashi 2011) | |
Hybrid | Short-term water demand forecast | (Tiwari and Adamowski 2013) |