R: Methods for Smart Meter Data Analysis

# Methods for Smart Meter Data Analysis

## Documentation for package ‘SmartMeterAnalytics’ version 1.1.1

- DESCRIPTION file

## Help Pages

calc_features15_consumption | Calculates features from 15-min smart meter data
calc_features30_consumption | Calculates features from 30-min smart meter data
calc_features60_consumption | Calculates features from 15-min smart meter data
calc_featuresco_consumption | Calculates consumption features from weekly consumption only
calc_featuresda_consumption | Calculates consumption features from daily smart meter data
calc_featureshtnt_consumption2 | Calculates consumption features from daily (HT / NT) smart meter data
calc_featuresnt_consumption | Calculates consumption features from daily (HT / NT) smart meter data
calc_features_daily_multipleTS | Calculates feature from multiple time series data vectors
calc_features_weather | Calculates features from one environmental time-series variable and smart meter data
encode_p_val_stars | Encodes p-values with a star rating according to the Significance code:
features_all_subsets | Creates a set of all combinations of features
getDay_ISO8601_week | Retrieves the date of the monday in a ISO8601 week-string
getDay_US_week | Retrieves the date of the monday in a US week-string (as implemented by R as.Date)
interpolate_missingReadings | Interpolate missing readings
naInf_omit | Removes the rows with NA or Inf values
occupancy_cluster | Determines two clusters of high and low consumption times (e.g., non-ocupancy during holidays)
prepareFeatureSet | Compiles a list of features from energy consumption data
remove_empty_features | Removes variables with no necessary information from a data.frame
replaceNAsFeatures | Replaces NA values with a given ones
smote | Synthetic minority oversampling (SMOTE)