Man pages for LBNL-ETA/RMV2.0
M&V2.0 Using R and Shiny

acf_plot	Residual autocorrelation plot
act_plot	Plot of the actual pre or post installation data
act_vs_fit_plot	actual vs. fitted scatter plot
axis_range	Compute plot axis range for two different data files (e.g,...
clean_eload	Clean the elaod data
clean_Temp	Clean the Temperature data
clean_Temp_2	Clean the Temperature data
convert_15min_to_1_hour	Convert 15 minute interval data into hourly interval data
cpt_det	Function to detect potential non-routine events
cpt_save_plot	Plot the residual/savings and the identified change points in...
create_date_var	Create an input variable corresponding to given intervals
cusum_plot	Plot the CUSUM
daily_cusum_barplot	Plot the daily CUSUM
daily_save_barplot	BarPlot the daily savings
data_load	Load data into the shiny application
days_off_var	Create a new binary variable based on the dates of days off...
detect_interval	Compute the granularity of the time series
eload_heatmap	Eload heatmap
eload_vs_input_plot	eload vs. Temperature scatter plot
errors_vs_input_plot	errors vs. Temperature scatter plot
gbm_baseline	Gradient boosting machine baseline model function.
gbm_tune	Gradient boosting machine tuning function.
k_dblocks_cv	K-fold-day cross validation function.
k_wblocks_cv	K-fold-week cross validation function.
load_session	load a session
monthly_cusum_barplot	BarPlot the monthly CUSUM
monthly_save_barplot	BarPlot the monthly savings
nre_eval	Function to identify change points in the whole dataset
number_of_days	Compute number of days in the data
portfolio_savings	Portfolio Savings summary
post_plot	Plot of the post-installation period data
pred_accuracy	Prediction accuracy metrics computation
pre_plot	Plot of the pre-installation period data
ratio_missing	Estimate the ration of missing data
save_plot	Plot the residual in the prediction period
save_predictions	Predictions Data Savings
save_session	Save a session
savings	Function to calculate the savings of the post period.
savings_heatmap	Savings heatmap
savings_results_plot	Savings barplot
savings_summary	Savings summary
screen_pie_plot	Screening pie plot
screen_summary	Screening summary
time_features	Extract features from the time
time_format	Convert the timestamps into the default format
to_exclude	Exclude data from given intervals
to_extract	Extract data from given intervals
towt_baseline	Time Of the Week and Temperature baseline model function.
towt_time_var	Convert the time format
train_model	Train Baseline models
train_model_summary	Baseline models results summary
weekly_cusum_barplot	BarPlot the weekly CUSUM
weekly_save_barplot	BarPlot the weekly savings