newvars.rf: newvars.rf

In cugliari/enercast: Electrical energy forecast tools

Description

Construct new variables for Random Forest Model

Usage

newvars.rf(data, type, t, ...)

Arguments

data	Data frame with 'load' and 'temp' columns
type	Character. 'load.lag', 'temp.lag', 'temp.sqcb', 'temp.desv', 'load.desv'.
t	Lags
...	...

Details

load.lag

lags of load

temp.lag

lags of temperature

temp.sqcb

temperature square and cubic

temp.desv

deviation of temperature

load.desv

deviation of load

Value

data.frame

Author(s)

Jairo Cugliari, Andres Castrillejo, Fernando Massa, Ignacio Ramirez

References

Hong, T. and Wang, P. and Lee Willis, H. 2011 A naive multiple linear regression benchmark for short term load forecasting. In Power and Energy Society General Meeting, 2011 IEEE, 1–6.

Hong, T. and Pinson, P.and Fan, S. 2014 Global energy forecasting competition 2012. International Journal of Forecasting, 30(2):357–363

cugliari/enercast documentation built on Sept. 15, 2019, 10:13 a.m.