get_raw_ts: Get time-series forecast of raw NWP ensemble
In kdayday/ppnwp: Post-Process Numerical Weather Prediction ensembles
Description
Usage
Arguments
Value
See Also
Description
This method does a basic empirical CDF based on the raw NWP ensemble.
Usage
1
get_raw_ts(issue, ens_test, site, max_power, metadata)
Arguments
issue
A time stamp
ens_test
[time x member] matrix of ensemble data for test period
site
String, site name
max_power
Site's AC power rating or maximum load
metadata
A data.frame of forecast parameters
Value
A ts_forecast object
See Also
Other ts_training_forecast: get_binned_ts,
get_bma_ts, get_chpeen_ts,
get_clim_ts, get_emos_ts,
get_peen_ts
kdayday/ppnwp documentation built on Oct. 8, 2020, 8:47 a.m.
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Description Usage Arguments Value See Also
Description
This method does a basic empirical CDF based on the raw NWP ensemble.
Usage
1 | get_raw_ts(issue, ens_test, site, max_power, metadata)
|
Arguments
issue |
A time stamp |
ens_test |
[time x member] matrix of ensemble data for test period |
site |
String, site name |
max_power |
Site's AC power rating or maximum load |
metadata |
A data.frame of forecast parameters |
Value
A ts_forecast object
See Also
Other ts_training_forecast: get_binned_ts,
get_bma_ts, get_chpeen_ts,
get_clim_ts, get_emos_ts,
get_peen_ts
R Package Documentation
Browse R Packages
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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