maketemps: Create lagged temperature variables
In robjhyndman/MEFM-package: Monash Electricity Forecasting Model
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
The function is used to create lagged temperature variables for model estimation.
Usage
1
maketemps(x, temp_sites, periods = 48)
Arguments
x
Data frame including temperature observations from 1 or 2 weather stations
temp_sites
The number of weather stations, select between 1 and 2
periods
The periods within a day, choose between 48 (half-hourly data) and 24 (hourly data)
Value
The complete data frame that can be used for model estimation.
Author(s)
Rob J Hyndman and Shu Fan
References
R. J. Hyndman and S. Fan (2010) "Density Forecasting for Long-term Peak Electricity Demand", IEEE Trans. Power Systems, 25(2), 1142–1153.
See Also
Examples
1
robjhyndman/MEFM-package documentation built on May 27, 2019, 11:39 a.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
The function is used to create lagged temperature variables for model estimation.
Usage
1 | maketemps(x, temp_sites, periods = 48)
|
Arguments
x |
Data frame including temperature observations from 1 or 2 weather stations |
temp_sites |
The number of weather stations, select between 1 and 2 |
periods |
The periods within a day, choose between 48 (half-hourly data) and 24 (hourly data) |
Value
The complete data frame that can be used for model estimation.
Author(s)
Rob J Hyndman and Shu Fan
References
R. J. Hyndman and S. Fan (2010) "Density Forecasting for Long-term Peak Electricity Demand", IEEE Trans. Power Systems, 25(2), 1142–1153.
See Also
Examples
1 |
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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