Description Usage Arguments Examples
This function calculates saving uncertainty for retrofit data.
1 2 | saving_uncertainty_calc(num_pre, num_post, rmse, yearly_savings, energy,
bdbid = NA, session_id = NA)
|
num_pre |
A numeric value. Number of pre retrofit data points. |
num_post |
A numeric value. Number of post retrofit data points. |
rmse |
A numeric value. Pre-retrofit RMSE-value. |
yearly_savings |
A numeric value. Yearly savings returned from |
energy |
A charcter string. Energy Type, either 'Elec' or 'Fuel'. |
bdbid |
Building id, which identifies the building or the dataset. Defaults to |
session_id |
Either a character string or a numeric value to keep track. Defaults to |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## Not run:
retrofit_util = subset(retrofit_utility, retrofit_utility$bdbid == 846152
& retrofit_utility$energy_type == 'Elec')
result = batch_run_energy_retrofit(retrofit_util, 'Elec')
#subsetting for pre-retrofit period
pre_result = subset(result$best_result_df, result$best_result_df$prepost == 1)
pre_retrofit_util = subset(retrofit_util, retrofit_util$prepost == 3)
savings_df = saving_calc(pre_retrofit_util, pre_result, 846152, 'Elec')
rmse = .subset2(pre_result, 'rmse')[1]
yearly_savings = .subset2(savings_df, 'savings')[4]
num_pre = nrow(subset(retrofit_util, retrofit_util$prepost == 1))
num_post = nrow(subset(retrofit_util, retrofit_util$prepost == 3))
uncertainty_df = saving_uncertainty_calc(num_pre, num_post, rmse, yearly_savings,
'Elec', 846152)
## End(Not run)
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