calc_predicted_usage: Calculates preicted usage
In tinnaing347/bRema: Building Energy Modelling and Analysis Tool in R
View source: R/post_model_calc.R
Description
This function calcuates predicted usage using parameters from model_params.
Usage
1
calc_predicted_usage(util, best_df, scaled = TRUE)
Arguments
util
Utility dataframe of a single building and a single energy type.
best_df
Best Model dataframe returned by batch_run, batch_run_energy or construct_model_table.
scaled
scaled Boolean value. Defaults to TRUE. Determine to multiply usage with number of days in the month.
tinnaing347/bRema documentation built on Aug. 23, 2019, 9:15 p.m.
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View source: R/post_model_calc.R
Description
This function calcuates predicted usage using parameters from model_params.
Usage
1 | calc_predicted_usage(util, best_df, scaled = TRUE)
|
Arguments
util |
Utility dataframe of a single building and a single energy type. |
best_df |
Best Model dataframe returned by |
scaled |
scaled Boolean value. Defaults to TRUE. Determine to multiply usage with number of days in the month. |
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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