Description Usage Arguments Details Value Author(s) References
Construct new variables for Random Forest Model
1 | newvars.rf(data, type, t, ...)
|
data |
Data frame with 'load' and 'temp' columns |
type |
Character. 'load.lag', 'temp.lag', 'temp.sqcb', 'temp.desv', 'load.desv'. |
t |
Lags |
... |
... |
lags of load
lags of temperature
temperature square and cubic
deviation of temperature
deviation of load
data.frame
Jairo Cugliari, Andres Castrillejo, Fernando Massa, Ignacio Ramirez
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
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