plr_var {PVplr} | R Documentation |
PLR linear model uncertainty
Description
This function returns the standard deviation of a PLR calculated from a linear model
Usage
plr_var(mod, per_year)
Arguments
mod |
linear model |
per_year |
number of data points in a given year baesd on which time scale was selected |
Value
Returns standard deviation of PLR value
Examples
# build var_list
var_list <- plr_build_var_list(time_var = "timestamp",
power_var = "power",
irrad_var = "g_poa",
temp_var = "mod_temp",
wind_var = NA)
# Clean Data
test_dfc <- plr_cleaning(test_df, var_list, irrad_thresh = 100,
low_power_thresh = 0.01, high_power_cutoff = NA)
# Perform the power predictive modeling step
test_xbx_wbw_res <- plr_xbx_model(test_dfc, var_list, by = "week",
data_cutoff = 30, predict_data = NULL)
# obain standard deviation from model
mod <- lm(power_var ~ time_var, data = test_xbx_wbw_res)
plr_sd <- plr_var(mod, per_year = 52)
[Package PVplr version 0.1.2 Index]